Face-Body Detection in Python

I’m building a computer-vision pipeline focused on reliable detection and recognition of human faces and full-body figures. The core of the job is a clean, well-documented Python implementation that can take still images or short video clips and return bounding boxes, class labels, and confidence scores for each detected person.

I already have test media and the computing environment; what’s missing is the detection logic itself—ideally leveraging familiar libraries such as OpenCV, TensorFlow, PyTorch, or a proven YOLO/SSD variant. Accuracy on varied lighting and crowded scenes is more important to me than sheer speed, but the code should still run in real time on a modern GPU.

Deliverables
• Python source code with clear inline comments
• Pre-trained weights (or training notebook) and instructions for further fine-tuning
• Short report outlining model choice, evaluation metrics, and sample results
• Simple CLI or notebook demo that shows the system working on my test set

Acceptance criteria
• ≥90 % precision and recall on the provided images
• No external dependencies beyond standard Python CV/ML stacks
• Reproducible setup: a requirements.txt or environment.yml that builds without errors

Once this module is solid, there may be follow-on tasks for simulation apps and thesis-level documentation, but for now the priority is a robust, plug-and-play face-and-body detector.you are cute