Dataset Versions
v1
2024-05-25 11:44pm
Generated on May 26, 2024
23724 Total Images
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Dataset Split
Train Set 87%
20736Images
Valid Set 8%
1992Images
Test Set 4%
996Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.8% of pixels