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Object Detection

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v3

2023-06-05 11:38pm

Generated on Jun 5, 2023

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Dataset Split

Train Set 88%
3912Images
Valid Set 8%
338Images
Test Set 5%
209Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 9 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 10 boxes with 5% size each