MultiClass Classification Image Dataset
v695
2024-04-29 3:43pm
Generated on Apr 29, 2024
5449 Total Images
View All ImagesDataset Split
Train Set 82%
4490Images
Valid Set 12%
637Images
Test Set 6%
322Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
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