cat classification Computer Vision Dataset
Versions
82 Total Images
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Dataset Split
Train Set 88%
72Images
Valid Set 6%
5Images
Test Set 6%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%