Dataset Versions
Versions
v1
2023-12-10 11:55pm
Generated on Dec 10, 2023
2864 Total Images
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Dataset Split
Train Set 87%
2505Images
Valid Set 8%
240Images
Test Set 4%
119Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 17-90% Vertical Region
Resize: Stretch to 640x900
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical