Dataset Versions
Versions
v1
2022-12-01 2:23pm
Generated on Dec 1, 2022
426 Total Images
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Dataset Split
Train Set 87%
372Images
Valid Set 8%
36Images
Test Set 4%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°
Shear: ±11° Horizontal, ±11° Vertical
Blur: Up to 2.25px
Noise: Up to 4% of pixels
Cutout: 3 boxes with 3% size each