Dataset Versions
v3
2024-08-06 5:47pm
Generated on Aug 6, 2024
504 Total Images
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Dataset Split
Train Set 88%
441Images
Valid Set 8%
42Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.36% of pixels