Discover Computer Vision Projects Efficiently

I am looking for a highly capable **Senior Full-Stack Developer / Technical Lead with strong AI experience** to help design and develop a new commercial software platform for an established Australian business.

The initial project involves developing an AI-enabled workflow and reporting system, with the platform intended to expand significantly over time.

I am looking for someone capable of both developing the initial MVP and designing the underlying architecture so additional modules, integrations and AI capabilities can be added as the platform grows.

Relevant experience includes:

* Full-stack web application development
* AI / LLM integration
* AI workflows and automation
* Image analysis / computer vision
* Document and report automation
* Databases and scalable cloud architecture
* API development and third-party integrations
* SaaS application architecture
* Authentication and user permissions

Experience with complex business-management or workflow software would be highly regarded.

This is a **paid commercial project with significant potential for ongoing development** if the initial engagement is successful.

I am more interested in demonstrated capability than formal qualifications or the lowest hourly rate.

When applying, please provide examples of relevant systems you have personally built, your role in those projects, your preferred technology stack and your availability.

**Further details regarding the business, application and project requirements will only be provided to shortlisted candidates following confidentiality arrangements. **

Improve our SD 1.5 ControlNet machine learning design for sandbox GPU-based imaging workflows with a focus on tissue sample data. You may be asked to attend an online meeting to explain your approach to the project owner - Singapore time zone. Experience with similar projects and strong problem-solving skills are important. Please share relevant examples of past work and your approach to handling imaging data on GPU.

Seeking a freelancer to improve ControlNet machine learning design on GPU for imaging data, with a focus on tissue samples. You may be needed to attend online meeting to educate the project owner on our design approach

The environment, processing imaging data, and optimizing performance for GPU-based workflows has been setup.

Experience with similar projects and strong problem-solving skills are important. Please share relevant examples of past work and your approach to handling imaging data on GPU.

Looking for a flexible fixed-price remote project in Latin America? Join our research team to complete a comprehensive computer vision testing dataset.

LOCATION: Must reside in Latin America.

WORKFLOW & COMPENSATION
Select & Record: Choose home routines and film hands-only video clips on your phone.

Submit Milestones: Upload unedited media packages.

Total Payout: Earn $400 USD total upon completion of the 100-hour project scope.

QUALIFIED SMARTPHONES ONLY
Apple iPhone: 12, 13, 14, 15, 16, 17 (EXCEPT 16e/17e)

Samsung Galaxy: S21, S22, S23, S24, S25, S26 (Base, Plus, Ultra, FE — NO A-series or Lite)

Google Pixel: Pixel 6, 7, 8, 9 (Base & Pro)

APPLY WITH:
City & Country in LATAM:

Exact Phone Model:

Weekly Available Hours:

I am looking for an experienced AI/ML developer to build and integrate an advanced AI video transformation feature into my existing portal. The system should create realistic face movements and body motions to simulate live yoga sessions. I will provide a source video, my visual references, and voice/audio samples. The aim is to replace the source face with mine while preserving natural expressions, head movement, body gestures during yoga poses, as well as lip synchronization with the provided voice. It should convincingly mimic a live session's feel.

Applicants should have expertise in AI video generation, face replacement, body motion tracking, voice cloning, and backend integration techniques. I'm open to suggestions on using suitable AI models, APIs, or a self-hosted solution considering quality, processing time, and cost requirements.

Sample input and expected output will be shared for testing before final integration.

Skills: Machine Learning (ML), Face Recognition, Video Processing, Computer Vision, Deep Learning, AI Model Development, AI Content Creation, AI Animation, AI Integration, AI Video Editing

🚨 GEOGRAPHIC REQUIREMENT: THIS PROJECT IS EXCLUSIVELY FOR FREELANCERS RESIDING IN LATIN AMERICA.
(Proposals from outside Latin America will be automatically declined).

📌 PROJECT OVERVIEW
We are offering a fixed-price research project for candidates in Latin America to assist in training computer vision AI models by producing a structured dataset of daily domestic actions.

Total Project Budget: $400.00 USD (Structured via project milestones upon approval).

Total Work Scope: Estimated 100 hours of dataset deliverables.

Timeline: Fully flexible and self-paced.

🛡️ Privacy Assurance: Fully compliant with privacy standards. Zero face or voice recorded.

DELIVERABLE SCOPE
Short, hands-only video clips covering routine household tasks:

Kitchen tasks (washing dishes, wiping counters, coffee brewing, meal prep)

Storage organization (pantries, closets, bedrooms, garages)

Home care (dusting, surface cleaning, pet care, vehicle refueling)

MANDATORY HARDWARE SPECIFICATIONS
(Proposals featuring unlisted or budget models will be declined).

Apple iPhone: 12, 13, 14, 15, 16 & 17 Series (EXCEPT 16e and 17e)

Samsung Galaxy: S21, S22, S23, S24, S25 & S26 Series (Base, Plus, Ultra, and FE accepted — STRICTLY NO A-series or Lite)

Google Pixel: Pixel 6, 7, 8 & 9 Series (Base & Pro)

APPLICATION REQUIREMENTS
Please reply with the following 3 details:

City & Country (Must be in LATAM):

Exact Smartphone Model:

Weekly Available Hours:

We are seeking a proactive and skilled Mid-to-Senior Full-Stack Developer to join our team on a long-term, full-time basis (40 hrs/week).

You will play a central role in maintaining, optimizing, and developing new features across our ecosystem:

AI Fashion Mobile App (Cross-Platform)

What You Will Do

Develop and maintain full-stack features across our cross-platform mobile app and web platforms.

Architect and implement robust, secure, and scalable RESTful APIs / backend services.

Integrate AI models, image processing pipelines, and third-party APIs into seamless front-end workflows.

Manage database schemas, query optimization, and server-side logic.

Ensure high performance, responsiveness, and clean code standards across both client and server layers.

Requirements

3+ years of practical full-stack development experience (Mid to Senior level).

Strong proficiency with modern front-end technologies: React, Next.js, and TypeScript.

Solid back-end foundation with Node.js (Express, NestJS, or similar) and relational/non-relational databases.

Hands-on experience with Cross-Platform Mobile Development (React Native, Capacitor, or similar).

Strong grasp of API design, authentication/authorization flows, and cloud integrations.

Reliable full-time commitment (40 hrs/week) with clear async communication and problem-solving initiative.

Bonus Points

Experience integrating generative AI / computer vision APIs (e.g. OpenAI, custom pipelines).

Familiarity with Docker, CI/CD pipelines, and cloud hosting
(GCP / Vercel).

We are looking for an experienced, dedicated Mid-to-Senior Full-Time Frontend Developer to join our team for a long-term engagement (40 hrs/week).

You will be actively maintaining and scaling our core products:

AI-Powered Fashion Mobile App (Cross-Platform)

Company Web Platform & Marketing Website

What You Will Do

Develop and maintain features across our cross-platform mobile application and web platforms.

Integrate complex AI workflows and features (generative imagery, real-time styling, image processing pipelines) into seamless, intuitive UIs.

Implement pixel-perfect, responsive components based on modern design systems.

Optimize app performance, render cycles, and API payload consumption.

Collaborate closely with the core team to architect scalable frontend patterns.

Requirements

3+ years of hands-on frontend development experience (Mid to Senior level).

Strong expertise in React, Next.js, and TypeScript.

Proven experience building and shipping Cross-Platform Mobile Apps (React Native, Capacitor, or similar hybrid workflows).

Solid understanding of state management, clean component architecture, and modern CSS/styling frameworks.

Experience integrating and consuming RESTful APIs / WebSockets.

Ability to work full-time (40 hrs/week) with overlapping working hours and clear async communication.

Bonus Points

Hands-on experience integrating AI/computer vision APIs into user-facing applications.

Experience with native mobile build pipelines (Xcode, Android Studio, app store deployment).

How to Apply
In your application, share link of your portfolio.

We are looking for a Makerspace / STEM Product Developer with deep pedagogical expertise for a long-term freelance collaboration.

The role involves developing interdisciplinary, real-life challenges for students aged 6–18, where learners design, build, test and improve practical solutions using traditional woodworking tools and consumable materials, 3–4 mm wooden sheets for laser cutting, vacuum forming, 3D printing, electronics, programming, robotics and AI/computer vision.

Key responsibilities:

- Design and prototype complete Makerspace projects
- Develop engineering, inquiry-based and problem-solving challenges
- Envision and write educational activities, supporting background theory, student tasks and teacher guides
- Create CAD files, BOMs and technical documentation
- Test and improve projects for functionality, cost, age suitability, manufacturability, pedagogical value and market fit
- Integrate electronics, programming and AI where relevant
- Collaborate with ENGINO’s engineering, software and education teams

Preferred background: product/mechanical design, mechatronics, Makerspaces/FabLabs, STEM education, CAD, digital fabrication, electronics and robotics.

Engagement: remote freelance role, approximately 20 hours/week on average, initial 12-month project, with potential for long-term extension. The freelancer must be able to align part of their working hours with the Greece head office for regular online meetings and team coordination.

We are seeking an experienced computer vision developer or team to build AI analytics using our existing CCTV cameras across Bahrain and Saudi Arabia.

Phase One covers kitchen mask, hairnet and apron compliance; cutting-board and knife color checks; staff identification while masked; and departmental alerts. Phase Two covers unattended customers, kitchen pass delays, delivery pickup delays and boutique replenishment.

Our priority is a reliable, scalable solution with low recurring costs, source-code ownership and full technical handover. Please review the attached scope and propose your approach, pilot plan, timeline and pricing.

The goal is to bundle four AI utilities into one intuitive Streamlit interface written entirely in Python.

1. Spam Detection
The core focus is robust spam prediction models. Accuracy, speed, and clear probability outputs matter more to me than classic rule-based email filters, but the module should be structured so other filtering approaches can be plugged in later.

2. Mushroom Classification
A computer-vision model (CNN or transfer-learning) should let users upload a mushroom photo and instantly see whether it is edible or poisonous, with confidence scores and a short explanation of key visual cues.

3. Text Summarization
I need concise, human-readable summaries of long articles. The user will paste or upload text up to ~5 000 words and receive a summary adjustable by ratio or target sentence count. If the same component can later handle documents or web pages, even better, but the long-article use case comes first.

4. Image Processing
Please wire in an OpenCV-based playground tab for common transformations (resize, grayscale, edge detection, simple filters). I am open to expanding this to detection or segmentation later, so keep the code modular.

Interface
A left-side navigation menu should switch between the four tasks. Each page must allow file or text input, display results instantly, and log key metrics in the sidebar. Clean, material-like styling is enough; no heavy frontend work required.

Deliverables
• Fully working Streamlit app with the four pages integrated
• All Python source files, requirements.txt, and a brief README explaining setup, model training, and how to extend each module
• Pre-trained weights or clear instructions to recreate them
• Short video or screenshot walkthrough confirming each feature operates as described

Acceptance Criteria
The app launches with a single `streamlit run` command, processes example inputs for every module without errors, and achieves respectable accuracy on publicly available test data (exact numbers fine-tuned during hand-over).

Tooling keywords for reference: TensorFlow or PyTorch, scikit-learn, Transformers, HuggingFace, NLTK, spaCy, OpenCV, Streamlit Components.

Timeline and milestones are flexible; code quality and clarity come first.

Skills: C Programming, Python, Software Architecture, Machine Learning (ML), Data Science, OpenCV, Computer Vision, Deep Learning, Streamlit, Convolutional Neural Network

Developed a healthcare AI application for lung disease classification using chest X-ray images, combined with an interactive medical chatbot and voice assistant.

The classification component analyzes chest X-ray images and predicts the corresponding lung disease category. Alongside the classification model, I was responsible for developing the AI Chatbot and RAG system, allowing users to ask questions about lung diseases, symptoms, and medical information.

I implemented Retrieval-Augmented Generation (RAG) to connect the chatbot with a medical knowledge base, enabling it to retrieve relevant information and generate more informative and context-aware responses.

The system also included a Voice Assistant to provide a more natural voice-based interaction with the user.

Key Features:

Chest X-ray Lung Disease Classification
AI Medical Chatbot
Retrieval-Augmented Generation (RAG)
Medical Knowledge Base
Context-aware responses
Voice Assistant
Integration of Computer Vision and NLP components

My Contribution:

Developed the AI chatbot
Implemented the RAG pipeline
Connected the chatbot to the knowledge base
Designed the conversational interaction flow
Contributed to integrating the chatbot and voice interaction into the overall application

Skills: Image Processing, Computer Vision, Deep Learning, Natural Language Processing, AI Chatbot Development, AI Model Development, AI Development, Retrieval-Augmented Generation (RAG), AI Voice Agents, AI Workflow Automation

Already have a CCTV camera network installed on-site and are looking for a computer vision developer/team to build a real-time PPE (Personal Protective Equipment) compliance detection system that plugs into our existing camera feeds — no new hardware installation required.

The system should be able to:
- Detect workers in frame and classify them as SAFE / UNSAFE based on PPE worn (helmet, safety vest/jacket, hand gloves, safety harness/hook, etc.)
- Overlay bounding boxes with live labels on the video feed
Log unsafe events with a timestamped snapshot, camera ID, and missing-PPE detail (e.g., "Missing: helmet")
- Match against a registered worker database (face ID) for accountability
- Support an alarm/alert center for real-time unsafe notifications
- Support IN/OUT tracking at gates/turnstiles (worker headcount on site)
- Provide a simple dashboard for management to review live feed + logs + analytics

We've attached reference screenshots of a similar system

Skills needed: Computer Vision / Object Detection (YOLO or similar), OpenCV, RTSP/NVR integration, Python, Dashboard/Web development, some experience with edge or on-prem deployment a plus.

Screening Questions:
- To scope this accurately, walk us through what information you'd need from us before quoting
- at the client needed, what you built, and the outcome).
Have you integrated a CV model with an existing (not new) CCTV/NVR system before?
- Any proof of work sample
- Would you recommend on-prem/edge processing or cloud-based processing for this use case, and why?

Elite Full Stack AI Engineer Needed to Finish and Launch Existing Platform
We are looking for an exceptionally talented software engineer to take our existing AI SaaS platform through final QA, bug fixing, hardening, and production launch.
This is not a greenfield project. The majority of the platform is already built. We need an expert who can enter an existing codebase, understand it quickly, identify what is broken or incomplete, fix it properly, and get us across the finish line.

About the Platform
We are building Aerial Insights AI, an AI powered property intelligence platform that uses Google Street View and satellite imagery, computer vision, YOLO, Python image processing, geospatial analysis, historical imagery, and storm data.
The platform analyzes properties to identify roof and shingle types, roof condition, siding, gutters, windows, doors, potential storm damage, and other exterior characteristics.

The product already includes a map based interface, property scanning, polygon scanning, AI processing, Knowledge Base, CRM functionality, authentication, billing, admin systems, and AWS infrastructure.

Your Mission
Get the entire system genuinely production ready.
You will:

Audit the existing codebase and architecture

Run and test the frontend and backend

QA major user workflows end to end

Test APIs, authentication, database, maps, scanning, AI processing, billing, and admin systems

Find bugs and incomplete functionality

Identify root causes

Fix issues properly

Perform regression testing

Validate the production environment

Document anything that remains

We do not want someone who simply creates a list of bugs. We want someone who can find the problems, fix them, test the fixes, and get the product ready for customers.

Ideal Candidate
We are looking for a Staff, Principal, or exceptional Senior Engineer with strong experience in:
React

Node.js

PostgreSQL and Prisma

Python

AWS

REST APIs

Authentication

Background workers

Production debugging

Automated and integration testing

Stripe

Experience with YOLO, computer vision, geospatial applications, imagery, GIS, real estate technology, or insurance technology is a major plus.

Most importantly, you must be able to take ownership of an unfamiliar and complex codebase without needing everything explained to you.

Our ideal process is:

Reproduce, investigate, find the root cause, fix, test, regression test, ship.

We Are Not Looking For
A junior developer
Someone who only knows frontend or backend

Someone who needs constant supervision

Someone who says it works on my machine

Someone who wants to rewrite everything

Someone who does not thoroughly test their work

Someone who relies on AI generated code they do not understand

AI coding tools are completely fine. We care about the quality of the engineering and your ability to own the code you ship.

Application
Please start your proposal with:
I can take Aerial Insights across the finish line.

Then answer these questions:

What is the most complex production application you have personally built or rescued?
What is the hardest production bug you have personally diagnosed and fixed?
If you inherited a platform that was 90 to 95 percent complete, what would you do during your first 48 hours?
What is your hourly rate and availability?
Please include 1 to 3 examples of your strongest work.
Compensation
Premium rates are available for exceptional talent.
We care far more about finding the right engineer than finding the cheapest engineer.

If you are the type of engineer who loves taking a complicated system that is 90 percent complete and pushing it through the final 10 percent until it is actually ready for customers, we want to hear from you.

This is a high ownership final mile engineering role with significant potential for continued work as Aerial Insights AI scales.

Job Title:Interactive "Draw, Scan, Play" Unity System (Computer Vision + Dynamic Sprite Ingestion)Project OverviewWe are looking for a developer or small agency to build a custom interactive educational system for our makerspace. The goal is to create a seamless hardware-software pipeline where a student draws a character or object on a physical sheet of paper, places it under a fixed overhead webcam, and presses a button to scan it. The system must automatically isolate the drawing and dynamically inject their physical artwork as the playable character inside a custom Unity game template.The final system will be a standalone desktop application (running on Windows or macOS) attached to a connected touchscreen monitor and overhead USB camera. It must also generate a QR code so users can take their web-based games home.Technical Scope & WorkflowThe software pipeline must execute the following steps seamlessly:1. Image Capture & Processing (Computer Vision)Input: Capture a high-resolution image from a fixed overhead USB webcam or document camera.Segmentation: Use computer vision (OpenCV or standard C# thresholding scripts) to automatically detect paper boundaries, correct perspective distortion, perform thresholding to completely erase the white paper background, and isolate the drawing.Output: Save the isolated drawing as a transparent .png sprite into a designated directory.2. Game Customization & Asset Mapping (Unity Engine)Templates: Build three (3) simple, pre-coded 2D game templates (e.g., an Infinite Runner, a Platformer, and a Flappy Bird/Jumper clone).Asset Mapping: The selected template must dynamically fetch the newly generated .png sprite from the local directory at runtime and map it as the main playable character with a fitted 2D box/capsule collider.Customization Dashboard Screen: Before the game launches, a touchscreen dashboard menu must allow the user to select modular customization variables that alter the template:Accessories: Choose a digital sticker sprite overlay (e.g., a hat, sunglasses, or cape) that automatically anchors to the top bounds of the scanned character.Audio: Select from 3 pre-loaded background music tracks.Variables: Toggle between basic movement modifiers (e.g., Speed: Normal vs. Fast).3. Deployment & Portability (QR Code Output)Local Play: The game must launch instantly in full-screen mode for immediate local arcade-style gameplay.Mobile Portability: Upon game completion, the system must generate a unique QR code. When scanned by a smartphone, this QR code must open a mobile-optimized WebGL version of the exact game played, hosted on a cloud server (using a free-tier hosting framework like Firebase or GitHub Pages to minimize running costs).Key DeliverablesFully functional local application managing the camera control, image processing pipeline, and touchscreen arcade UI dashboard.Three (3) completed Unity game templates fully integrated into the dynamic asset pipeline.Cloud web-hosting pipeline configuration for serving compiled WebGL builds via QR codes.Clean, well-commented Unity project files and source code with full intellectual property ownership handed over to us upon project completion.Multi-language support architecture (Structured text data files for English and Thai; designed so Spanish text can easily be added by us later).

⚠️ MUST BE LOCATED IN LATIN AMERICA TO APPLY ⚠️

Earn extra income from home by recording short, hands-only video clips of daily household activities for AI computer vision research!

Payout: $4.00 USD / approved hour (Earn up to $400 USD total).

Hours: 100% self-paced — work on your own time.

🔒 Privacy: No face, no voice, no video editing needed.

PERMITTED ACTIVITIES
Washing dishes, brewing coffee, cooking, organizing pantries/closets, cleaning bathroom surfaces, refueling vehicles, and pet care.

COMPATIBLE SMARTPHONES ONLY
(Budget phones and unlisted series will be rejected).

iPhone: 12 to 17 (EXCEPT 16e/17e)

Samsung Galaxy: S21 to S26 (Base, Plus, Ultra & FE accepted — NO A-series or Lite)

Google Pixel: Pixel 6 to 9 (Base & Pro)

TO APPLY, CONFIRM:
City & Country in LATAM:

Exact Phone Model:

Weekly Available Hours:

Looking for an experienced developer to build an AI-based UAV detection and tracking system for a custom ArduPilot quadcopter using Raspberry Pi 5 and AI HAT+ 2. Scope includes real-time drone detection, object tracking, MAVLink integration, safe autonomous follow/stand-off navigation, telemetry logging, GCS interface, failsafes, SITL testing, and complete source-code handover.

Skills: Python, Machine Learning (ML), Robotics, Raspberry Pi, Image Processing, OpenCV, Embedded Systems, Computer Vision, Deep Learning, AI Model Development

we need support to implement iot based auto inspection and jewllery counting if your ready we can do multiple projects

LOCATION ELIGIBILITY: Open strictly to freelancers residing in Latin America (Mexico, Central America, South America, Caribbean).

REQUIRED PHONE MODELS:
(Proposals listing unlisted, budget, or Lite devices will be immediately rejected).

Apple: iPhone 12 through 17 Series (EXCEPT 16e/17e)

Samsung Galaxy: S21 through S26 Series (Base, Plus, Ultra & FE accepted — STRICTLY NO A-series or Lite)

Google Pixel: Pixel 6 through 9 Series (Base & Pro)

PROJECT SUMMARY
Assist AI computer vision researchers by capturing raw, unscripted video clips of your hands performing basic household routines.

Compensation: $4.00 USD / approved hour (Up to $400 USD total payout).

Privacy Protection: 100% private. Only your hands and objects are filmed. No faces, no voices.

Hours: Work whenever you want with zero minimum daily commitments.

PERMITTED TASKS
Washing dishes, making coffee, preparing snacks, organizing shelves/closets, wiping tables, feeding pets, and refueling cars at gas stations.

HOW TO APPLY
Send a proposal answering:

Country & City in LATAM:

Exact Smartphone Model:

Weekly Availability:

1worldsync was bought by Syndigo. I have to get resale items approved through this new website in order to sell to Kroger. I laid this excel out exactly as we entered things before but Syndigo may ask for more or for less info. So if you need additional "attributes" (size, weight etc) let me know what you need. I was able to enter the site, which still says 1worldsync. Please let me know if you can get these 2 items on the spreadsheet thru.

portal: Syndigo.com/login-portal/ (then select ITEM MANAGEMENT)
User (same as before)
Password: 1234KJOBa#4

🚨 CRITICAL REQUIREMENT: THIS PROJECT IS EXCLUSIVELY FOR FREELANCERS LOCATED IN LATIN AMERICA.
(Proposals from applicants outside Latin America will be automatically declined).

📌 ROLE OVERVIEW
We are hiring Quality Testing Specialists across Latin America to evaluate computer vision AI models by recording brief, first-person (POV) clips of daily home routines using your smartphone.

Rate: $4.00 USD per approved hour (Total payout potential up to $400 USD).

Schedule: 100% self-paced and flexible.

🛡️ Privacy First: Fully compliant with privacy guidelines. Zero face or voice recorded.

APPROVED TESTING ACTIVITIES
Hands-only recordings of standard domestic tasks:

Kitchen routines (washing dishes, wiping counters, coffee brewing, cooking)

Closet, pantry, bedroom, or garage organization

General maintenance (bathroom surface cleaning, dusting, pet care, vehicle refueling)

MANDATORY DEVICE COMPATIBILITY
(Submissions with unlisted or budget models will be declined).

Apple iPhone: 12, 13, 14, 15, 16 & 17 Series (EXCEPT 16e and 17e)

Samsung Galaxy: S21, S22, S23, S24, S25 & S26 Series (Base, Plus, Ultra, and FE accepted — STRICTLY NO A-series or Lite)

Google Pixel: Pixel 6, 7, 8 & 9 Series (Base & Pro)

APPLICATION MANDATE
To confirm you read the full post, start your response with your location:

City & Country (Must be in LATAM):

Exact Smartphone Model:

Weekly Available Hours:

We are looking for reliable freelancers, field teams, and local vendors in the Dominican Republic to support an ongoing commercial video data collection project for AI and computer vision.

The project involves recording real commercial tasks and workflows using a supported smartphone. Payment is based on approved recording hours that meet the project requirements.

📌 Project Details
Location: Dominican Republic
Rate: $5–$5.50 USD per approved recording hour
Project type: Commercial video data collection
Recording: Egocentric / head-mounted smartphone video
Engagement: Ongoing / long-term
Commercial environments only

📱 Supported Devices
iPhone 12 or newer
Samsung Galaxy S21 or newer
Google Pixel 6 or newer

🏢 Commercial Categories
We are interested in recordings from:
Agriculture & Landscaping
Auto Services
Carpentry & Furniture Workshops
Ceramics Production
Commercial Cleaning & Janitorial
Construction
Electronics Repair
Event Venues
Food Manufacturing
Home Events & Hosting
Hotels & Lodging
Manufacturing & Fabrication
Plumbing, HVAC & Electrical
Restaurants & Commercial Kitchens
Retail & Grocery Stores
Salon & Spa Services
Textiles, Leather & Footwear
Warehouses & Distribution Centers

🤝 Who Can Apply?
We welcome:
Individual contributors with access to commercial workplaces
Field data collection teams
Local vendors or agencies
Teams that can coordinate multiple contributors
Partners with access to multiple commercial businesses
Teams and vendors are welcome to apply.
If you represent a team or company, please include:
City/region in the Dominican Republic
Commercial categories you can support
Approximate number of contributors you can access
Previous field data/video collection experience
Estimated recording capacity per week
🎥 Recording Requirements
Recordings should:
✅ Show genuine commercial tasks and workflows
✅ Be clear and stable
✅ Be adequately lit
✅ Focus on the work activity
✅ Take place in an appropriate commercial environment
✅ Follow the provided project guidelines
✅ Meet the quality requirements for approval

💰 Payment
$5–$5.50 USD per approved recording hour.
Only recordings that meet the project requirements will count toward approved hours. Payment will be handled through Upwork according to the applicable contract terms.

📩 How to Apply
Please submit an Upwork proposal including your location in the Dominican Republic, commercial categories you can access, participant/team capacity, and relevant experience.
Long-term opportunity for qualified contributors, field teams, and vendors in the Dominican Republic.

We are looking for reliable freelancers, field teams, and local vendors in Panama to support an ongoing commercial video data collection project for AI and computer vision.

The project involves recording real commercial tasks and workflows using a supported smartphone. Payment is based on approved recording hours that meet the project requirements.

📌 Project Details
Location: Panama
Rate: $5–$5.50 USD per approved recording hour
Project type: Commercial video data collection
Recording: Egocentric / head-mounted smartphone video
Engagement: Ongoing / long-term
Commercial environments only

📱 Supported Devices
iPhone 12 or newer
Samsung Galaxy S21 or newer
Google Pixel 6 or newer

🏢 Commercial Categories
We are interested in recordings from:
Agriculture & Landscaping
Auto Services
Carpentry & Furniture Workshops
Ceramics Production
Commercial Cleaning & Janitorial
Construction
Electronics Repair
Event Venues
Food Manufacturing
Home Events & Hosting
Hotels & Lodging
Manufacturing & Fabrication
Plumbing, HVAC & Electrical
Restaurants & Commercial Kitchens
Retail & Grocery Stores
Salon & Spa Services
Textiles, Leather & Footwear
Warehouses & Distribution Centers

🤝 Who Can Apply?
We welcome:
Individual contributors with access to commercial workplaces
Field data collection teams
Local vendors or agencies
Teams that can coordinate multiple contributors
Partners with access to multiple commercial businesses
Teams and vendors are welcome to apply.
If you represent a team or company, please include:
City/region in Panama
Commercial categories you can support
Approximate number of contributors you can access
Previous field data/video collection experience
Estimated recording capacity per week

🎥 Recording Requirements
Recordings should:
✅ Show genuine commercial tasks and workflows
✅ Be clear and stable
✅ Be adequately lit
✅ Focus on the work activity
✅ Take place in an appropriate commercial environment
✅ Follow the provided project guidelines
✅ Meet the quality requirements for approval

💰 Payment
$5–$5.50 USD per approved recording hour.
Only recordings that meet the project requirements will count toward approved hours. Payment will be handled through Upwork according to the applicable contract terms.

📩 How to Apply
Please submit an Upwork proposal including your location in Panama, commercial categories you can access, participant/team capacity, and relevant experience.
Long-term opportunity for qualified contributors, field teams, and vendors in Panama.

I have a single video frame captured in daylight that shows the front of a vehicle. Unfortunately, the plate is extremely blurry and all normal sharpening tricks have failed. I need a forensic imaging specialist who can push well beyond routine filters—think de-blurring algorithms, AI-based super-resolution, frame averaging, or any other proven technique—to extract a legible plate number.

Source material
• One “very blurry” video frame pulled directly from the original recording.
• Daytime lighting; no night-vision artifacts to worry about.

What I would like back
• A cleaned, high-confidence still image that clearly shows the license plate characters.
• A brief note (a paragraph or two is fine) outlining the process and software you used so the result can stand up to scrutiny if questioned.

If complete reconstruction is impossible, let me know early and provide the best partial read you can achieve.

Skills: Machine Learning (ML), Computer Graphics, Image Processing, Signal Processing, Computer Vision, Deep Learning, Image Recognition, Image Analysis, Data Augmentation, Data Annotation

Merhaba, Kitantik mağazam için basit bir ürün yükleme otomasyonu yaptırmak istiyorum.

İstediğim sistem şu şekilde çalışacak:

1. Telefon veya bilgisayardan ürün/kaset fotoğrafını sisteme yükleyeceğim.
2. Fotoğraftaki renkli sticker algılanacak.
3. Sticker rengine göre daha önceden belirlediğim fiyat otomatik atanacak.
Örneğin:
- Kırmızı = 250 TL
- Mavi = 200 TL
- Yeşil = 150 TL
- Sarı = 100 TL
Bu fiyatları daha sonra panelden kendim değiştirebilmeliyim.
4. Yapay zekâ fotoğrafı analiz ederek mümkün olduğunca:
- sanatçı
- albüm/kaset adı
- marka
- ürün türü
- fotoğrafta görülebilen diğer bilgiler
bilgilerini çıkarsın.
5. Fotoğraflardan elde edilen bilgilerle Kitantik ürün ilanı otomatik oluşturulsun.
6. Ürün başlığı ve açıklaması otomatik hazırlansın.
7. Fotoğraflar ilana otomatik eklensin.
8. Fiyat otomatik olarak sticker renginden gelsin.
9. İlan yüklenmeden önce bana bir kontrol ekranı gösterilsin.
10. Ben istersem düzenleme yapıp "Onayla ve Yükle" diyeyim.
11. Birden fazla fotoğrafı aynı anda seçip toplu olarak işleyebileyim.
12. İşlenen ürünlerin geçmişi tutulabilsin.
13. AI'ın fotoğrafta görmediği bilgileri uydurmaması önemli.
14. İlk aşamada sadece Kitantik için yapılacak. Daha sonra başka pazaryerleri eklenebilir.

Önemli:
Öncelikle 5-10 ürünlük çalışan bir PROTOTİP istiyorum. Prototipte fotoğraf → sticker algılama → fiyat belirleme → AI ile ürün bilgisi çıkarma → ilan taslağı oluşturma aşamalarını görmek istiyorum.

Ayrıca Kitantik'te ürün ilanı oluşturmak için resmi API/entegrasyon yöntemi varsa onun kullanılmasını, yoksa güvenilir bir web otomasyonu yöntemi kullanılmasını istiyorum.

Lütfen teklif verirken ayrı ayrı belirtin:

- Prototip fiyatı
- Tam sistem geliştirme fiyatı
- Tahmini teslim süresi
- Aylık sunucu/AI maliyeti
- Kitantik entegrasyonu için ayrıca ücret olup olmadığı
- Kaynak kodunun tarafıma teslim edilip edilmeyeceği
- Daha sonra bakım için ücret
- Hangi teknolojilerle geliştirileceği

Amacım çok özellikli bir e-ticaret yazılımı değil. Sadece fotoğrafı çektiğimde/ yüklediğimde kasetin ilanını mümkün olduğunca otomatik hazırlayan ve Kitantik'e gönderen pratik bir sistem istiyorum.

Teşekkürler.

Skills: Machine Learning (ML), Software Development, Image Processing, Data Integration, Computer Vision, Automation, API Development, Data Annotation

Seeking an experienced software developer to build a custom real-time analytics and simulation application.

The project will involve:
- Real-time extraction/recognition of structured information from multiple web sources.
- Non-interactive observation methods.
- Independent data collection from varying sources, used to perform calculations.
- A high-performance probability/statistical calculation engine
- Monte Carlo simulation and simulation analysis.
- Rule-based event detection and real-time alerts
- Multi-user backend, database, authentication, and role-based access
- Historical data logging, analytics, and visualization dashboards

Developers experienced in Python, algorithms, statistical modeling, desktop capture, computer vision, APIs, application development, etc.

We are looking for reliable freelancers, field teams, and local vendors in Costa Rica to support an ongoing commercial video data collection project for AI and computer vision.

The project involves recording real commercial tasks and workflows using a supported smartphone. Payment is based on approved recording hours that meet the project requirements.

📌 Project Details
Location: Costa Rica
Rate: $5–$5.50 USD per approved recording hour
Project type: Commercial video data collection
Recording: Egocentric / head-mounted smartphone video
Engagement: Ongoing / long-term
Commercial environments only

📱 Supported Devices
iPhone 12 or newer
Samsung Galaxy S21 or newer
Google Pixel 6 or newer

🏢 Commercial Categories

We are interested in recordings from:
Agriculture & Landscaping
Auto Services
Carpentry & Furniture Workshops
Ceramics Production
Commercial Cleaning & Janitorial
Construction
Electronics Repair
Event Venues
Food Manufacturing
Home Events & Hosting
Hotels & Lodging
Manufacturing & Fabrication
Plumbing, HVAC & Electrical
Restaurants & Commercial Kitchens
Retail & Grocery Stores
Salon & Spa Services
Textiles, Leather & Footwear
Warehouses & Distribution Centers

🤝 Who Can Apply?
We welcome:
Individual contributors with access to commercial workplaces
Field data collection teams
Local vendors or agencies
Teams that can coordinate multiple contributors
Partners with access to multiple commercial businesses
Teams and vendors are welcome to apply.

If you represent a team or company, please include:

City/region in Costa Rica
Commercial categories you can support
Approximate number of contributors you can access
Previous field data/video collection experience
Estimated recording capacity per week

🎥 Recording Requirements

Recordings should:
✅ Show genuine commercial tasks and workflows
✅ Be clear and stable
✅ Be adequately lit
✅ Focus on the work activity
✅ Take place in an appropriate commercial environment
✅ Follow the provided project guidelines
✅ Meet the quality requirements for approval

💰 Payment
$5–$5.50 USD per approved recording hour.
Only recordings that meet the project requirements will count toward approved hours. Payment will be handled through Upwork according to the applicable contract terms.

📩 How to Apply
Please submit an Upwork proposal including your location in Costa Rica, commercial categories you can access, participant/team capacity, and relevant experience.
Long-term opportunity for qualified contributors, field teams, and vendors in Costa Rica.

We are looking for reliable freelancers, field teams, and local vendors in Ecuador to support an ongoing commercial video data collection project for AI and computer vision.

The project involves recording real commercial tasks and workflows using a supported smartphone. Payment is based on approved recording hours that meet the project requirements.

📌 Project Details

Location: Ecuador
Rate: $5–$5.50 USD per approved recording hour
Project type: Commercial video data collection
Recording: Egocentric / head-mounted smartphone video

Engagement: Ongoing / long-term
Commercial environments only

📱 Supported Devices
iPhone 12 or newer
Samsung Galaxy S21 or newer
Google Pixel 6 or newer

🏢 Commercial Categories
We are interested in recordings from:
Agriculture & Landscaping
Auto Services
Carpentry & Furniture Workshops
Ceramics Production
Commercial Cleaning & Janitorial
Construction
Electronics Repair
Event Venues
Food Manufacturing
Home Events & Hosting
Hotels & Lodging
Manufacturing & Fabrication
Plumbing, HVAC & Electrical
Restaurants & Commercial Kitchens
Retail & Grocery Stores
Salon & Spa Services
Textiles, Leather & Footwear
Warehouses & Distribution Centers

🤝 Who Can Apply?
We welcome:
Individual contributors with access to commercial workplaces
Field data collection teams
Local vendors or agencies
Teams that can coordinate multiple contributors
Partners with access to multiple commercial businesses
Teams and vendors are welcome to apply.
If you represent a team or company, please include:
City/region in Ecuador
Commercial categories you can support
Approximate number of contributors you can access
Previous field data/video collection experience
Estimated recording capacity per week

🎥 Recording Requirements
Recordings should:
✅ Show genuine commercial tasks and workflows
✅ Be clear and stable
✅ Be adequately lit
✅ Focus on the work activity
✅ Take place in an appropriate commercial environment
✅ Follow the provided project guidelines
✅ Meet the quality requirements for approval

💰 Payment
$5–$5.50 USD per approved recording hour.
Only recordings that meet the project requirements will count toward approved hours. Payment will be handled through Upwork according to the applicable contract terms.

📩 How to Apply
Please submit an Upwork proposal including your location in Ecuador, commercial categories you can access, participant/team capacity, and relevant experience.
Long-term opportunity for qualified contributors, field teams, and vendors in Ecuador.

We are looking for reliable freelancers, field teams, and local vendors in Brazil to support an ongoing commercial video data collection project for AI and computer vision.

The project involves recording real commercial tasks and workflows using a supported smartphone. Payment is based on approved recording hours that meet the project requirements.

Project Details
Location: Brazil
Rate: $5–$5.50 USD per approved recording hour

Project type: Commercial video data collection
Recording: Egocentric / head-mounted smartphone video

Engagement: Ongoing / long-term
Commercial environments only

📱 Supported Devices
iPhone 12 or newer
Samsung Galaxy S21 or newer
Google Pixel 6 or newer

📌 Commercial Categories
We are interested in recordings from:
Agriculture & Landscaping
Auto Services
Carpentry & Furniture Workshops
Ceramics Production
Commercial Cleaning & Janitorial
Construction
Electronics Repair
Event Venues
Food Manufacturing
Home Events & Hosting
Hotels & Lodging
Manufacturing & Fabrication
Plumbing, HVAC & Electrical
Restaurants & Commercial Kitchens
Retail & Grocery Stores
Salon & Spa Services
Textiles, Leather & Footwear
Warehouses & Distribution Centers

🤝 Who We’re Looking For
This project is suitable for:

Individual contributors with access to commercial workplaces
Field data collection teams
Local vendors or agencies
Teams that can coordinate multiple contributors
Partners with access to multiple commercial businesses

Teams and vendors are welcome to apply.
If you represent a team or company, please include in your proposal:
City/region in Brazil
Commercial categories you can support
Approximate number of contributors you can access
Previous experience with field data/video collection
Your expected recording capacity per week

🎥 Recording Requirements
Recordings should:
Show genuine commercial tasks and workflows
Be clear and stable
Be adequately lit
Focus on the work activity
Take place in an appropriate commercial environment
Follow the provided project guidelines
Meet the quality requirements for approval

💰 Payment
$5–$5.50 USD per approved recording hour.
Only recordings that meet the project requirements will count toward approved hours. Payments will be handled through Upwork according to the applicable contract/payment terms.

Upwork Support
How to Apply
Please submit an Upwork proposal including your Brazilian location, commercial categories you can access, team/participant capacity, and relevant experience.

Join our remote team assisting artificial intelligence researchers across Latin America in testing physical task recognition in home environments.

PROJECT HIGHLIGHTS
Compensation: $4.00 USD / approved hour (Capped at $400 USD total payout).

Flexibility: Work whenever it suits your schedule.

🛡️ 100% Anonymous: Strictly focuses on hand interactions with domestic objects. No faces or voices captured.

APPROVED TESTING ROUTINES
Demonstrating basic daily hand actions: washing dishes, brewing coffee, preparing food, organizing closets/pantries, cleaning bathroom surfaces, refueling cars, or feeding pets.

QUALIFIED HARDWARE LIST
(Proposals listing unlisted or budget devices cannot be accepted).

Apple: iPhone 12 through 17 Series (EXCEPT 16e/17e)

Samsung Galaxy: S21 through S26 Series (Base, Plus, Ultra & FE accepted — NO A-series or Lite)

Google Pixel: Pixel 6 through 9 Series (Base & Pro)

HOW TO APPLY
Please answer these 3 points in your response:

Exact Smartphone Model:

City & Country in LATAM:

Weekly Available Hours:

We are seeking remote Quality Testing Specialists across Latin America to support the evaluation and training of computer vision models focused on human-object interaction.

📌 ROLE OVERVIEW
You will conduct real-world testing of physical domestic routines at home by demonstrating hands-only interactions with everyday objects.

Rate: $4.00 USD per approved hour (Total earning potential up to $400 USD).

Schedule: 100% flexible. Work on your own timeline.

Privacy Assurance: Fully compliant with privacy standards. Zero facial or vocal identification required.

SCOPE OF TASKS TO EVALUATE
Hands-on demonstrations of everyday home tasks:

Kitchen routines (washing dishes, wiping counters, coffee brewing, cooking)

Storage organization (pantries, closets, bedrooms, garages)

General maintenance (bathroom surface cleaning, dusting, pet care, vehicle refueling)

MANDATORY DEVICE COMPATIBILITY
(Due to camera sensor requirements for machine learning models, unlisted or budget models will be declined).

Apple iPhone: 12, 13, 14, 15, 16, 17 (EXCEPT 16e and 17e)

Samsung Galaxy: S21, S22, S23, S24, S25, S26 (Base, Plus, Ultra, and FE accepted — STRICTLY NO A-series or Lite)

Google Pixel: Pixel 6, 7, 8, 9 (Base & Pro)

APPLICATION REQUIREMENTS
Please submit your proposal with:

Your Exact Smartphone Model:

Your Location (City & Country in LATAM):

Your Weekly Availability (Hours/Week):