Dataset Versions
v3
2024-10-09 7:25pm
Generated on Oct 9, 2024
13630 Total Images
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Dataset Split
Train Set 75%
10239Images
Valid Set 10%
1350Images
Test Set 15%
2041Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.96% of pixels