Dataset Versions
Versions
v1
2024-10-31 3:13pm
Generated on Oct 31, 2024
233 Total Images
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Dataset Split
Train Set 88%
204Images
Valid Set 8%
19Images
Test Set 4%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -60% and +60%
Brightness: Between -25% and +25%
Exposure: Between -50% and +50%
Blur: Up to 4px
Noise: Up to 1.97% of pixels