Dataset Versions
Versions
v1
2023-02-04 5:11pm
Generated on Feb 4, 2023
10007 Total Images
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Dataset Split
Train Set 90%
9006Images
Valid Set 8%
801Images
Test Set 2%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 26% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±35° Horizontal, ±35° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -54% and +54%
Blur: Up to 1.25px