Dataset Versions
v4
rotation and saturation
Generated on Jun 19, 2024
805 Total Images
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Dataset Split
Train Set 88%
711Images
Valid Set 8%
62Images
Test Set 4%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Blur: Up to 2.5px
Bounding Box: Rotation: Between -15° and +15°