Dataset Versions
Versions
v1
2023-09-03 7:00pm
Generated on Sep 3, 2023
419 Total Images
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Dataset Split
Train Set 92%
387Images
Valid Set 4%
16Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -3° and +3°
Saturation: Between -34% and +34%
Brightness: Between -16% and +16%
Exposure: Between -9% and +9%
Blur: Up to 0.5px
Noise: Up to 1% of pixels