GitHub / GnanaPrakashSG2004 / Object_Detection
Explored Classical and DL based approaches - Employed the Viola-Jones facial classifier for face detection and tracking, adjusting hyperparameters to optimize the quality of detections and tracks. Utilized YOLOv8 models for duck detection, running experiments to analyze the impact of model size, augmentations, dataset size and weight initialisation
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Language: Jupyter Notebook
Size: 666 MB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 10 months ago
Pushed at: 10 months ago
Last synced at: 10 months ago
Topics: detection, haarcascade-classifier, numpy, opencv, tracking, ultralytics, yolo