Dataset Versions
Versions
v1
2024-10-08 12:09am
Generated on Oct 8, 2024
6610 Total Images
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Dataset Split
Train Set 88%
5784Images
Valid Set 8%
552Images
Test Set 4%
274Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 3.2px
Noise: Up to 5.01% of pixels
Cutout: 3 boxes with 10% size each