Custom YOLO Object Detection & Tracking Pipeline by Muhammad HassaanCustom YOLO Object Detection & Tracking Pipeline by Muhammad Hassaan
Custom YOLO Object Detection & Tracking PipelineMuhammad Hassaan
Cover image for Custom YOLO Object Detection & Tracking Pipeline
What You Get Get a custom, production-ready Computer Vision pipeline built to detect, track, and analyze objects in real-time video feeds or image batches.
Key Features & Deliverables:
Custom Dataset Training: Fine-tuning YOLOv8 / PyTorch models on your custom annotated dataset.
Real-Time Tracking: Implementation of object tracking (SORT/ByteTRACK/DeepSORT) with ID persistence.
Optimized Pipeline: Frame-rate and inference optimization using Python & OpenCV.
Deployment-Ready Code: Fully documented Python repository with clear setup instructions (requirements.txt, setup script, clean codebase).
API/Web Integration Option: Exposure via lightweight FastAPI endpoints or a Streamlit interface upon request.
How We Work Together:
Scope & Data: You share your dataset or sample video feeds along with target detection goals.
Model Training & Logic: I build and fine-tune the pipeline specifically for your edge case.
Delivery & Review: You get the source code, demo run, and full documentation to deploy seamlessly.
Starting at$249
Duration5 days
Tags
FastAPI
OpenCV
Python
Computer Vision
Machine Learning
YOLO
Service provided by
Muhammad Hassaan Islamabad, Pakistan
Custom YOLO Object Detection & Tracking PipelineMuhammad Hassaan
Starting at$249
Duration5 days
Tags
FastAPI
OpenCV
Python
Computer Vision
Machine Learning
YOLO
Cover image for Custom YOLO Object Detection & Tracking Pipeline
What You Get Get a custom, production-ready Computer Vision pipeline built to detect, track, and analyze objects in real-time video feeds or image batches.
Key Features & Deliverables:
Custom Dataset Training: Fine-tuning YOLOv8 / PyTorch models on your custom annotated dataset.
Real-Time Tracking: Implementation of object tracking (SORT/ByteTRACK/DeepSORT) with ID persistence.
Optimized Pipeline: Frame-rate and inference optimization using Python & OpenCV.
Deployment-Ready Code: Fully documented Python repository with clear setup instructions (requirements.txt, setup script, clean codebase).
API/Web Integration Option: Exposure via lightweight FastAPI endpoints or a Streamlit interface upon request.
How We Work Together:
Scope & Data: You share your dataset or sample video feeds along with target detection goals.
Model Training & Logic: I build and fine-tune the pipeline specifically for your edge case.
Delivery & Review: You get the source code, demo run, and full documentation to deploy seamlessly.
$249