Dataset Versions
v3
2022-12-08 3:49pm
Generated on Dec 8, 2022
5188 Total Images
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Dataset Split
Train Set 92%
4773Images
Valid Set 4%
210Images
Test Set 4%
205Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical