Dataset Versions
v3
2023-06-28 6:36pm
Generated on Jun 28, 2023
5328 Total Images
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Dataset Split
Train Set 88%
4662Images
Valid Set 8%
444Images
Test Set 4%
222Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels