Dataset Versions
v2
2023-06-01 11:20pm
Generated on Jun 1, 2023
944 Total Images
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Dataset Split
Train Set 89%
837Images
Valid Set 8%
72Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -38° and +38°
Shear: ±25° Horizontal, ±9° Vertical
Saturation: Between -25% and +25%
Exposure: Between -34% and +34%