lying Computer Vision Dataset
Versions
21 Total Images
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Dataset Split
Train Set 100%
21Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -69% and +69%
Brightness: Between -49% and +49%
Noise: Up to 0.89% of pixels