Dataset Versions
v3
2024-09-22 10:38pm
Generated on Sep 22, 2024
13350 Total Images
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Dataset Split
Train Set 93%
12387Images
Valid Set 3%
459Images
Test Set 4%
504Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Brightness: Between -15% and +0%
Blur: Up to 2.5px
Noise: Up to 2.25% of pixels