Dataset Versions
v1
dogz-dataset-augmented
Generated on Sep 29, 2021
53890 Total Images
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Dataset Split
Train Set 90%
48501Images
Valid Set 8%
4311Images
Test Set 2%
1078Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -40° and +40°
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -36% and +36%
Exposure: Between -40% and +40%
Noise: Up to 5% of pixels