Dataset Versions
v2
2024-06-08 4:55pm
Generated on Jun 8, 2024
10604 Total Images
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Dataset Split
Train Set 87%
9240Images
Valid Set 9%
908Images
Test Set 4%
456Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Noise: Up to 0.22% of pixels