Dataset Versions
v1
2023-03-30 8:36pm
Generated on Mar 30, 2023
8422 Total Images
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Dataset Split
Train Set 88%
7371Images
Valid Set 8%
701Images
Test Set 4%
350Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
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