multicrop Computer Vision Dataset
Versions
7675 Total Images
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Dataset Split
Train Set 88%
6720Images
Valid Set 8%
633Images
Test Set 4%
322Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 432x432
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%