Dataset Versions
v3
2024-10-05 5:07am
Generated on Oct 5, 2024
3276 Total Images
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Dataset Split
Train Set 96%
3134Images
Valid Set 4%
142Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.17% of pixels