OpenCV Freelance Jobs

We are seeking a skilled and experienced Machine Learning Engineer to lead a project focused on object detection using GAN or Yolo models. The primary goal of this project is to develop a robust system capable of detecting and counting the number of customers who visit our establishment daily. The successful candidate will work with a custom dataset provided by us, which includes images and corresponding annotations.

Responsibilities:
Develop and implement object detection algorithms using GAN or Yolo models.
Train and fine-tune the selected model on the custom dataset provided.
Conduct rigorous testing and evaluation of the trained model to ensure accuracy and reliability.
Optimize the model for real-time performance and scalability.
Collaborate with the team to integrate the developed solution into our existing infrastructure.

Requirements:
Proven experience in machine learning, particularly in the field of computer vision and object detection.
Proficiency in deep learning frameworks such as TensorFlow or PyTorch.
Experience working with GAN or Yolo models for object detection tasks.
Strong programming skills in Python and familiarity with relevant libraries (e.g., OpenCV).
Ability to work with custom datasets and perform data preprocessing, augmentation, and annotation.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills.

Nice to Have:
Experience deploying machine learning models in production environments.
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud).
Knowledge of Docker and containerization technologies.
How to Apply:

If you are passionate about machine learning and have the skills required to tackle this exciting project, please submit your proposal outlining your relevant experience, approach to the task, and estimated timeline. Additionally, include any relevant portfolio or projects showcasing your expertise in machine learning and computer vision.

We look forward to collaborating with you to develop a cutting-edge solution for customer counting in our establishment.

We are looking for an experienced developer to build a complex photo album program. The program should have advanced features such as image editing, filtering, and categorization. The main goal is to create a user-friendly interface that allows users to easily organize and manage their photo collections. The developer should have a strong understanding of software development principles and experience in building similar applications. This project requires a creative problem-solver with excellent attention to detail.
Skills needed:
- Proficiency in programming languages such as Java or Python
- Experience with image processing libraries like OpenCV
- Knowledge of database management systems
- Familiarity with UI/UX design principles

We are a leading technical development firm specializing in AI and ML research and development. We provide custom deep learning models tailored to our clients' needs, typically built from scratch with minimal reliance on off-the-shelf packages. Our projects often involve sourcing open-source codebases from GitHub, related to state-of-the-art research papers from top-tier machine learning conferences. We meticulously review and modify the source code to develop bespoke models.

We are seeking computer vision experts for long-term, full-time collaborations, with a potential commitment of more than 40 hours per week.

Key Responsibilities:

Modify code from scratch and thoroughly read open-source codebases on GitHub.
Fix challenging bugs in large codebases.
Read highly technical research papers and replicate the research.
Conduct root cause analysis and enjoy the problem-solving process.
Perform independent research.
Utilize traditional computer vision methods using OpenCV and understand their methodologies.
Fine-tune large language models (LLMs).
Requirements:

Proven experience in modifying and developing code from scratch.
Strong ability to understand and navigate open-source codebases.
Expertise in debugging and resolving complex issues in large codebases.
Proficiency in reading, understanding, and replicating advanced research papers.
Strong problem-solving skills and enjoyment of root cause analysis.
Capability to conduct independent research.
Familiarity with traditional computer vision methods and OpenCV.
Experience in fine-tuning LLMs.
If you are passionate about computer vision and AI, and enjoy working on challenging and innovative projects, we would love to hear from you.

Please answer the following questions in your application:

Describe your experience modifying code from scratch and working with open-source codebases on GitHub.
Share an example of a challenging bug you fixed in a large codebase.
Discuss your experience with reading and replicating technical research papers.
Explain why you enjoy the process of root cause analysis.
Provide an example of independent research you have conducted.
Detail your familiarity with traditional computer vision methods and OpenCV.
Describe your experience with fine-tuning LLMs.
Looking forward to your applications.

Best regards,

I'm looking for a talented freelancer who can develop a system using OpenCV to analyze online video stream footage recorded from a moving vehicle. The goal is to identify streetlight types and pole heights as part of a mapping project.

Key Requirements:
- Identify streetlight types and pole height accurately using OpenCV
- Locate poles with high GPS accuracy (±1 meter) and record their locations
- Output the collected data to a shp file

Environment:
The video footage will be recorded primarily in urban areas, so the system needs to be optimized to work effectively in these settings.

Ideal Skills and Experience:
- Proficiency in OpenCV for video analysis
- Experience with GPS integration and high-accuracy location recording
- Knowledge of GIS software and shp file output
- Previous experience with similar mapping or infrastructure projects would be highly beneficial.

The end product should be a reliable system that can efficiently process video data, identify streetlight types, and accurately record pole locations for mapping purposes.

Skills: Python, C++ Programming, Arduino, Geospatial, OpenCV

We are seeking a skilled Computer Vision Expert to join our team. The ideal candidate should have extensive knowledge and experience in vision systems, specifically with OpenCV and Python. As a Computer Vision Expert, you will be responsible for developing and implementing computer vision algorithms, analyzing and interpreting visual data, and optimizing performance. This role requires strong problem-solving skills and the ability to work independently. If you have a deep understanding of computer vision concepts, excellent programming skills, and a passion for cutting-edge technology, we would love to hear from you.

Relevant skills:
- Proficiency in Vision systems
- Knowledge of OpenCV
- Python programming
- Strong problem-solving skills

I'm looking for a freelancer proficient in C++, OpenCV, and Qt. The challenge is to seamlessly compile OpenCV 4.5 with GPU support in Qt Creator on a Windows operating system. I have a C++ program that utilizes the real-time object detection feature of YOLO for object recognition. Currently, it's straining the CPU (95-98%). Your task is to lower the CPU load and optimize the program's performance.

Ideal skills and experience would include:
- Strong C++ Programming
- Experience with OpenCV, ideally OpenCV 4.5
- Proficiency. with Qt Creator
- Familiarity with YOLO object detection
- Experience in performance optimization of object recognition programs

Skills: C Programming, C# Programming, CUDA, C++ Programming, OpenGL

I'm looking for a freelancer proficient in C++, OpenCV, and Qt. The challenge is to seamlessly compile OpenCV 4.5 with GPU support in Qt Creator on a Windows operating system. I have a C++ program that utilizes the real-time object detection feature of YOLO for object recognition. Currently, it's straining the CPU (95-98%). Your task is to lower the CPU load and optimize the program's performance.

Ideal skills and experience would include:
- Strong C++ Programming
- Experience with OpenCV, ideally OpenCV 4.5
- Proficiency. with Qt Creator
- Familiarity with YOLO object detection
- Experience in performance optimization of object recognition programs

Skills: C Programming, C# Programming, CUDA, C++ Programming, OpenGL

I'm looking for a proficient computer vision engineer with at least 5 years of experience in image detection and machine learning applications, including object detection, image segmentation, and facial recognition. You must be proficient in Python, with substantial experience using libraries and frameworks such as TensorFlow, PyTorch, YOLO and OpenCV. Knowledge of Nvidia Jetson Nano hardware platform is crucial for this project. Familiarity with Kafka and Docker is also desirable.

Ideal skills include:
- Proficient in Python programming for computer vision tasks
- Extensive knowledge and experience with TensorFlow, PyTorch, and YOLO
- Expertise in object detection, image segmentation, and facial recognition
- Experience of working with Nvidia Jetson Nano platform
- Familiarity with docker and kafka

This project will involve developing a robust, high-accuracy system that integrates seamlessly with the Nvidia Jetson Nano platform. You will leverage your advanced skills and knowledge in Python, TensorFlow, PyTorch, and YOLO to ensure the system's optimal performance.

Skills: Python, CUDA, Machine Learning (ML), Tensorflow, Pytorch

Seeking a skilled Machine Learning Engineer to fine-tune a Stable Diffusion model using Low-Rank Adaptation (LoRA) for a set of fashion outfits.

Key tasks
- Fine-tune a Stable Diffusion model using LoRA for specific fashion outfits.
- Preprocess and annotate a dataset of fashion images, ensuring high-quality inputs for training.
- Implement and optimize low-rank adaptations to improve model efficiency and performance.
- Collaborate with the fashion team to understand requirements and refine model outputs.
- Evaluate model performance and make necessary adjustments to improve accuracy and realism.
- Document the development process, providing clear and detailed reports on model improvements and outcomes.

Requirements
- Proven experience in machine learning, specifically in training and fine-tuning diffusion models.
- Strong understanding of Low-Rank Adaptation (LoRA) and DORA techniques.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Experience with image processing and computer vision tasks.
- Familiarity with fashion datasets and an understanding of fashion image nuances.
- Excellent problem-solving skills and the ability to work independently.
- Strong communication skills to effectively collaborate with cross-functional teams.
- A portfolio of previous machine learning projects, preferably related to image generation or fashion technology.


Computer vision AI tracking food inspection

https://viso.ai/why-viso-suite/#platform

would like to utilize existing IP based camera (NEST or any vision camera. https://www.jai.com/products/sw-4010q-mcl to evaluate food passing on the production line to make sure they are feeding it correctly and no gaps or space and there is correct form. the attached picture is a machine that takes the food and creates 3 lanes. the people no matter how many times we train can't seem to feed it properly so we need to monitor when it starts to break down so we can trigger a loud sound or red light to go off to alert we can see they are not doing it properly so they learn others will be alerted something is off before it moves further down the lanes for cutting.

Attached photo 7-20 will show the gaps we are trying to avoid and track and make loud sound if it happens so operator fixes immediately and I can come out of the other room and find out who is not doing the job correct.

Building an ai chatbot for couple relationship couching

I want to build an ai web chatbot which acts as a couple relationship couch. This chatbot will have two main functionalities:

1. Able to store user input as memories - Here needs two ai agents, one (memory sentinel) to assess if the user input is relevant for relationship couching, output is strictly "False" or "True", and another ai agent (memory manager) is to manage the memory knowleddge base. When the memory sentinel tells the memory manager that the user input is relevant, the memory manager will condense it then decide to do one of the followings based on user input:
1. create a new knowledge point in the database
2. update one knowledge point in the database
3. delete one knowledge point in the database

2. Able to allow me as a developer to upload relationship papers/pdfs to the chatbot to increase domain specific knowledge. Here I want to use RAG to tackle this.

Then the flow of chatbot would be: after 10 times of user inputs, all the messages from the user will goes through memory sentinel, if the message is relevant to couple relationship couching, then the memory manager agent will condense the messages and list them as memory points and decide which action to take for each memory point. Accordingly the memory manager will update the knowledge database.

After these flows, it's time for the 3rd ai agent called couch master. The whole existing memory database will be prompt into the system prompt, also a rag retrieval from prepared vector database with relavant 5 messages, together with the recent 10 messages in the user session.

Regarding development. I am using Nextjs framework with an open source repo for chatbot ui (https://github.com/vercel/ai-chatbot/tree/main). For backend, I am using python to do the logic and use Flask api to integrate it into my nextjs framwork.

Here are some tech stack to be considered:
LLM to be used: memory sentinel: gpt-4o-mini; memory manager: gpt-4-turbo; couch master: gpt-4-turbo (Other open source model can be used but let's use openai's first
For embedding: consider: https://cohere.com/embed
Database for user input memory: graphql (not sure)
Vector Database for RAG: pinecone or supabase
For memory manager, you can use Langchain / langgraph
For auth: nextauth

LLM - NLP - RAG Pipeline – AI Agent Specialist with Python and React Skills to enhance AI Chatbots

Looking for a backend developer with exceptional Python and React skills.
Your expertise includes:
Reasoning in Natural Language Processing (NLP)
Backend Prompt Engineering
Data Cleansing - Preprocessing
Conversation Handler
Fine-tuning
Vector Embeddings
Embedding Models
Claude
OpenAI
Next.js
PostgreSQL
Facebook AI Similarity Search (Faiss)
AWS
In addition to the above, you possess top-level mathematical skills and are comfortable analyzing and understanding others' code quickly and efficiently (yes our code is clean).
We need passionate AI engineer with proven experience in building modern RAG applications for Conversational AI (Chatbot) systems.

Other attributes we are looking for:
Reliable, trustworthy, available!

AI Developer skilled in image processing, image training, and image generation model

Position Overview:

We need an AI Developer skilled in image processing, image training, and image generation models. The role involves designing, implementing, and optimizing algorithms for processing, analyzing, and generating images.

*Key Responsibilities:


* Develop and optimize image processing, image training, and image generation algorithms.
* Train and evaluate deep learning models for image tasks.
* Perform data preprocessing and augmentation.
* Collaborate with data scientists, engineers, and product managers.
* Stay updated with the latest AI and image processing technologies.


*Requirements:


* Proven experience as an AI Developer or similar role.
* Proficiency in Python and libraries like TensorFlow, PyTorch, or Keras.
* Knowledge of image processing tools such as OpenCV.
* Experience with image generation models (Stable Diffusion, OTT Diffusion).
* Familiarity with deep learning architectures (CNNs, GANs).
* Experience with cloud platforms (AWS, Google Cloud, Azure).
* Strong problem-solving skills and attention to detail.
* Excellent communication skills and ability to work collaboratively.
* 1-2 years of experience in AI development.
*Preferred Qualifications:*


Master’s or bachelor's. in Computer Science, AI, Machine Learning, or a related field.
Experience with TypeScript, MySQL, and big data technologies.
Familiarity with version control systems such as Git.

Why Join Lyn Media Group?

* Work on cutting-edge AI projects.
* Join a collaborative and supportive team.
* Opportunities for career growth.

AI Model Developer for Object Detection | Deep Learning | Drone Images

We are seeking a skilled AI model developer to assist us in building an advanced object detection model using deep learning techniques. The primary goal of this project is to develop a model capable of accurately detecting and localizing objects in images or video footage captured by drones. The successful candidate will have a strong background in deep learning algorithms, particularly in the area of computer vision.

Key Responsibilities 💪
- Design and implement a robust deep learning model for object detection
- Gather, preprocess, and annotate training data
- Train and fine-tune the model using appropriate neural network architectures
- Evaluate and optimize the model's performance

Required Skills ⚒️
- Proficiency in deep learning frameworks such as TensorFlow or PyTorch
- Strong understanding of convolutional neural networks (CNNs) and object detection algorithms
- Experience with image and video processing
- Familiarity with popular object detection models such as YOLO, SSD, or Faster R-CNN
- Excellent problem-solving and analytical skills

This is a medium-sized project with an estimated duration of 3 to 6 months. We are looking for a motivated AI model developer looking to further their skills who can deliver high-quality results within the given timeframe.

Please share your previous experience.
* This opportunity has the potential to develop into a longer term project or a full time employment role *

I am in need of an expert in image segmentation or unsupervised/semi-supervised machine learning for my research analysis involving MRI images.

The primary goal of this project is to provide a detailed level of image labeling, especially in the identification of structures and some abnormalities within the images. The ideal output should cater to the requirements of a research analysis.

Key Project Requirements:
- The labeling should be of Intermediate level, encompassing both the identification of structures and some abnormalities within the MRI images.
- The labeled images should be in the DICOM format, to ensure compatibility and maintain the integrity of the original data.

Ideal Skills and Experience:
- Proficiency in image segmentation or unsupervised/semi-supervised machine learning, ideally with a focus on medical imaging.
- Prior experience in analyzing MRI images and providing detailed image labeling.
- Strong understanding of DICOM format and its application to labeled images.

Don't hesitate to contact me with any questions/thoughts/concerns!

Skills: Python, Machine Learning (ML), Image Processing, OpenCV, Image Analysis

Mandatory Key Skills: Computer Vision | Predictive Analysis/ Time series | Machine Learning | Python | ML Models | OOPS| Numpy | PyTorch | Cloud Platforms| SQL| Excellent Communication
Job Description :
Proficiency in Python (NumPy, OpenCV, TensorFlow, PyTorch) for computer vision algorithms; C++ knowledge is a plus.
Strong understanding of computer vision fundamentals: image processing, feature extraction, object detection, segmentation, and tracking.
Experience with deep learning frameworks (TensorFlow, PyTorch, Keras, OpenCV) for developing and deploying neural networks.
Familiarity with deep learning architectures (CNNs, RNNs, GANs, Transformers) and strong mathematical foundations (linear algebra, calculus, probability, optimization).
Exposure to cloud platforms (AWS), GPU programming (CUDA, OpenCL), and Generative AI for Computer Vision is advantageous.

Convert this into a PDF:
https://docs.nvidia.com/metropolis/deepstream/dev-guide/

Specific details:

No two chapters shall share a page, therefore the last page of every chapter will break whereas the sections shall be contiguous. The table in the left shall be cropped out and the beginning header of each section is cropped out as well. Also the privacy policy on the ending of each section shall be cropped out as well. The result should be a PDF book with a cover relating to Nvidia, deepstream and wavespectrum, and a table of context, lastly the back shall have the same content as the deepstream overview (how ever many content can fit from the start).

Chapter 1: Welcome to the DeepStream Documentation
Section 1.1: NVIDIA DeepStream Overview
Section 1.2: Migration Guide
...
Section 1.5: Docker containers

Chapter 2: Deepstream Samples
Section 2.1: C/C++ Sample Apps Source Details
...
Section 2.9: Implementing a Custom GStreamer Plugin with OpenCV Integration Example
...
...
...
Chapter 26: Tools
Section 26.1 : Registry
..
Section 26.5 GXF Command Line Interface

We are looking for a skilled individual with expertise in Artificial Intelligence (AI) and WebRTC for a one-time project. The ideal candidate will have a strong background in integrating AI solutions with WebRTC technology and can provide valuable insights and guidance for our project.

Requirements:
- Proven experience in AI development, including machine learning, deep learning, or natural language processing.
- Strong knowledge of WebRTC protocols and experience in developing WebRTC applications.
- Proficiency in programming languages such as Python, JavaScript, or others relevant to AI and WebRTC development.
Familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch, OpenCV).
- Experience with real-time communication systems and protocols.
- Strong problem-solving skills and the ability to provide clear, actionable advice.
- Good communication skills.

Preferred Qualifications:
- Previous experience in developing AI features for WebRTC applications.
- Knowledge of cloud platforms and services related to AI and WebRTC (e.g., AWS).
- Understanding of data privacy and security principles in AI and real-time communication contexts.

How to Apply:
If you are an AI and WebRTC expert looking for a one-time consultation opportunity, we would love to hear from you! Please submit your application with the following:
- A brief cover letter outlining your relevant experience
- Examples of previous work or projects related to AI and WebRTC (if available).

We need to have a robust algorithm to stich the images of 54 camera. Lens aberration and planar mis-alignment needs to be considered.

Pre-calibration is possible with a damier or other calibration methods.

The stitching has to be done within 3 seconds, feature based stitching (like of opencv) might not work well as it's repetitive identical features, we are looking for something more adapted to our needs.


Example of dataset (Limited to 6 images) are on this link: https://we.tl/t-qzm4meydC5

Please provide a description on how you intend to solve this problem.

Thank you

In this project, I'm aiming to substantially improve the accessibility of my web platform for visually impaired users. This will require developing automations to intelligently resize text content on the basis of the device's screen size, hence, enriching user experience for visually impaired visitors.

- Proficiency in JavaScript, HTML and CSS is essential for developing the resizing functionality.
- A comprehensive understanding of responsive web design principles is valuable.
- Experience with web accessibility standards (WCAG 2.1) and creating 'AAA' accessible content.
- Knowledge of screen readers and related assistive technologies will be an added advantage.

The ultimate goal is to empower visually impaired users with the freedom to adjust text size on their own terms, improving readability and accessibility. Let's build a web that's inclusive!

Skills: Python, Website Design, OpenCV, Deep Learning, OpenAI