Dataset Versions
Versions
v1
2024-07-04 5:08am
Generated on Jul 4, 2024
6565 Total Images
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Dataset Split
Train Set 88%
5745Images
Valid Set 12%
820Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.89% of pixels