Dataset Versions
v1
2024-02-04 10:29am
Generated on Feb 4, 2024
58 Total Images
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Dataset Split
Train Set 88%
51Images
Valid Set 9%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 1.8% of pixels