Dataset Versions
v1
2024-09-25 2:18am
Generated on Sep 25, 2024
5550 Total Images
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Dataset Split
Train Set 87%
4851Images
Valid Set 8%
467Images
Test Set 4%
232Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels