Dataset Versions
v3
2024-11-29 9:05pm
Generated on Nov 29, 2024
15744 Total Images
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Dataset Split
Train Set 88%
13776Images
Valid Set 13%
1968Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Tile: 4 rows x 4 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels