Dataset Versions
v2
2022-09-13 2:27pm
Generated on Sep 13, 2022
7200 Total Images
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Dataset Split
Train Set 88%
6300Images
Valid Set 8%
600Images
Test Set 4%
300Images
Preprocessing
Resize: Stretch to 32x32
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±4° Horizontal, ±8° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Noise: Up to 2% of pixels