Dataset Versions
v1
2023-10-10 12:14pm
Generated on Oct 10, 2023
103 Total Images
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Dataset Split
Train Set 87%
90Images
Valid Set 9%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Cutout: 4 boxes with 11% size each
Mosaic: Applied
