Dataset Versions
Versions
v1
2024-09-22 10:20pm
Generated on Sep 22, 2024
13232 Total Images
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Dataset Split
Train Set 92%
12213Images
Valid Set 4%
510Images
Test Set 4%
509Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 256x256
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Brightness: Between -15% and +0%
Blur: Up to 2.5px
Noise: Up to 2% of pixels