Dataset Versions
Versions
v1
2023-02-19 5:38am
Generated on Feb 19, 2023
9278 Total Images
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Dataset Split
Train Set 87%
8118Images
Valid Set 8%
773Images
Test Set 4%
387Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 7 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 5% of pixels