Dataset Versions
v5
2024-12-23 2:05pm
Generated on Dec 23, 2024
466 Total Images
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Dataset Split
Train Set 88%
408Images
Valid Set 8%
39Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 26% of images
Brightness: Between -37% and +37%
Blur: Up to 2.5px
Noise: Up to 2.68% of pixels