Dataset Versions
v10
Final Dataset
Generated on Jun 8, 2023
12250 Total Images
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Dataset Split
Train Set 88%
10725Images
Valid Set 8%
1016Images
Test Set 4%
509Images
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 -30° and +30°
Shear: ±20° Horizontal, ±20° Vertical
Saturation: Between -32% and +32%