Dataset Versions
Versions
v1
2024-03-10 9:50pm
Generated on Mar 10, 2024
1202 Total Images
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Dataset Split
Train Set 88%
1053Images
Valid Set 8%
100Images
Test Set 4%
49Images
Preprocessing
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 44% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±26° Horizontal, ±11° Vertical
Exposure: Between -29% and +29%
Blur: Up to 4.1px
Noise: Up to 4.81% of pixels
Cutout: 9 boxes with 21% size each