Dataset Versions
v2
2024-05-29 2:34pm
Generated on May 29, 2024
4893 Total Images
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Dataset Split
Train Set 87%
4281Images
Valid Set 8%
411Images
Test Set 4%
201Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 0.1% of pixels