Dataset Versions
v5
2022-12-27 3:27pm
Generated on Dec 27, 2022
38 Total Images
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Dataset Split
Train Set 79%
30Images
Valid Set 5%
2Images
Test Set 16%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1080x1080
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -6° and +6°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 38% of images
Exposure: Between -41% and +41%
Blur: Up to 1px
Bounding Box: Flip: Horizontal, Vertical