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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

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GnanaPrakashSG2004%2FObject_Detection

Stars: 0
Forks: 0
Open issues: 0

License: None
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

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