Dataset Versions
v4
2024-08-26 7:57am
Generated on Aug 26, 2024
56 Total Images
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Dataset Split
Train Set 86%
48Images
Valid Set 5%
3Images
Test Set 9%
5Images
Preprocessing
Auto-Orient: Applied
Static Crop: 15-90% Horizontal Region, 10-85% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical