Dataset Versions
v2
2024-06-28 7:18am
Generated on Jun 28, 2024
840 Total Images
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Dataset Split
Train Set 88%
735Images
Valid Set 8%
70Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -10° and +10°
Saturation: Between -22% and +22%
Brightness: Between -13% and +13%
Exposure: Between -6% and +6%