https://github.com/sandergi/yades

YOLOv8 Animal Detection for Embedded Systems. 97% test accuracy in just 400kb (about the same size as the photos it classifies or 1 second of video). Various quantization, pruning, and distillation techniques for vision models are explored.
https://github.com/sandergi/yades

animal-detection classification cnn distillation pruning quantization quantization-aware-training yolov8

Last synced: 3 months ago
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YOLOv8 Animal Detection for Embedded Systems. 97% test accuracy in just 400kb (about the same size as the photos it classifies or 1 second of video). Various quantization, pruning, and distillation techniques for vision models are explored.

• Host: GitHub
• URL: https://github.com/sandergi/yades
• Owner: SanderGi
• License: mit
• Created: 2025-01-22T12:23:16.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-25T11:28:14.000Z (about 1 year ago)
• Last Synced: 2025-02-25T12:31:53.296Z (about 1 year ago)
• Topics: animal-detection, classification, cnn, distillation, pruning, quantization, quantization-aware-training, yolov8
• Language: Jupyter Notebook
• Homepage:
• Size: 62 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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The contents of this repo are temporarily hidden as the associated paper goes through peer review. Should be back up by early 2026. If you need access to any of the files before then, please contact alex@sandergi.com.