Multilabel Classification Dataset

v7

for Autoencoder

Generated on Jul 31, 2023

Dataset Split

Train Set 82%
1684Images
Valid Set 18%
362Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 223x223
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -1° and +1°
Exposure: Between -12% and +12%
Blur: Up to 1px
Noise: Up to 1% of pixels

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