Dataset Versions
Versions
v1
2024-04-15 2:34pm
Generated on Apr 15, 2024
4083 Total Images
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Dataset Split
Train Set 90%
3675Images
Valid Set 10%
408Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels