Dataset Versions
v1
2024-08-29-1403
Generated on Aug 29, 2024
248 Total Images
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Dataset Split
Train Set 87%
216Images
Valid Set 13%
32Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -3° and +3°
Shear: ±2° Horizontal, ±2° Vertical
Brightness: Between -4% and +4%
Exposure: Between -4% and +4%