Dataset Versions
v6
2024-10-11 12:48am
Generated on Oct 11, 2024
1083 Total Images
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Dataset Split
Train Set 91%
981Images
Valid Set 6%
66Images
Test Set 3%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 23% of images
Saturation: Between -31% and +31%
Blur: Up to 2.6px
Noise: Up to 1.8% of pixels