Dataset Versions
v2
2024-11-11 12:48pm
Generated on Nov 11, 2024
959 Total Images
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Dataset Split
Train Set 69%
660Images
Valid Set 14%
139Images
Test Set 17%
160Images
Preprocessing
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Noise: Up to 0.18% of pixels