Dataset Versions
v2
2022-01-04 1:30pm
Generated on Jan 4, 2022
1200 Total Images
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Dataset Split
Train Set 88%
1050Images
Valid Set 8%
100Images
Test Set 4%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -30° and +30°
Saturation: Between -20% and +20%