Dataset Versions
Versions
v1
2023-03-30 9:53am
Generated on Mar 30, 2023
394 Total Images
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Dataset Split
Train Set 88%
345Images
Valid Set 8%
32Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 27% of images
Saturation: Between -58% and +58%
Exposure: Between -25% and +25%
Blur: Up to 2.25px