Dataset Versions
v1
2023-03-05 10:55pm
Generated on Mar 5, 2023
512 Total Images
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Dataset Split
Train Set 87%
447Images
Valid Set 8%
42Images
Test Set 4%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 7% of pixels
Cutout: 3 boxes with 7% size each
Mosaic: Applied