Dataset Versions
Versions
v1
2024-11-22 5:02pm
Generated on Nov 22, 2024
231868 Total Images
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Dataset Split
Train Set 100%
231861Images
Valid Set 0%
3Images
Test Set 0%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±2° Horizontal, ±1° Vertical
Saturation: Between -1% and +1%