Dataset Versions
Versions
v1
2024-04-23 6:20pm
Generated on Apr 23, 2024
2315 Total Images
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Dataset Split
Train Set 94%
2184Images
Valid Set 6%
131Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 1000x1000
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -18% and +18%
Brightness: Between -11% and +11%
Noise: Up to 0.1% of pixels