Dataset Versions
Versions
v1
2024-02-27 5:07pm
Generated on Feb 27, 2024
1416 Total Images
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Dataset Split
Train Set 88%
1239Images
Valid Set 8%
118Images
Test Set 4%
59Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -58% and +58%
Brightness: Between -49% and +49%
Exposure: Between -11% and +11%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 15 boxes with 1% size each