Custom Viola-Jones Face Detection from Scratch
Mar 2026
Finished
Full from-scratch implementation of the Viola-Jones face detection framework. The cascade classifier is trained stage-by-stage using AdaBoost on Haar-like features with hard negative mining. The detector supports parallel execution via Numba JIT compilation (5-10x inference speedup) with a ThreadPoolExecutor fallback. Trained on WIDER FACE dataset with 15,000 face samples. Best cascades reach 28 stages with 0.999 TPR. Includes real-time webcam detection, XML serialization compatible with OpenCV, and comprehensive Jupyter notebooks for ROC analysis and cascade inspection.
Technologies
AI
Jupyter
LaTeX
Matplot
NumPy
OpenCV
Pandas
Plotly
Python
Sklearn
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