Dataset Versions
v2
2023-04-20 5:12pm
Generated on Apr 20, 2023
4268 Total Images
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Dataset Split
Train Set 88%
3735Images
Valid Set 8%
352Images
Test Set 4%
181Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 5% of pixels