Dataset Versions
Versions
v1
2024-12-05 6:51pm
Generated on Dec 5, 2024
6780 Total Images
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Dataset Split
Train Set 87%
5931Images
Valid Set 8%
565Images
Test Set 4%
284Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 2.9px
Noise: Up to 1.81% of pixels
Cutout: 4 boxes with 13% size each