ccc Computer Vision Dataset
5364 Total Images
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Dataset Split
Train Set 100%
5364Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Blur: Up to 1.7px
Noise: Up to 0.38% of pixels