Dataset Versions
v2
2023-04-01 2:40pm
Generated on Apr 1, 2023
3508 Total Images
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Dataset Split
Train Set 70%
2457Images
Valid Set 20%
701Images
Test Set 10%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 5 dropped
Augmentations
Outputs per training example: 1
Flip: Horizontal
Grayscale: Apply to 25% of images
Hue: Between -100° and +100°
Saturation: Between -70% and +70%
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 15% of pixels