Dataset Versions

v7

2023-09-14 4:52pm

Generated on Sep 14, 2023

Dataset Split

Train Set 87%
240Images
Valid Set 13%
37Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 50% of images
Brightness: Between -27% and +27%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 3% of pixels

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