Dataset Versions

v1

2023-09-01 10:36am

Generated on Sep 1, 2023

Dataset Split

Train Set 90%
294Images
Valid Set 8%
26Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -36% and +36%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 9% size each

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