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Multilabel Classification

Classification

Multilabel Classification Image Dataset

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Versions!
for Multiclass
v9
·
a year ago
2046
for Autoencoder
v7
·
a year ago
2046
223x223
Stretch to
Augmented Grayscale
v4
·
a year ago
2648
Augmented
v3
·
a year ago
2648
2023-07-24 12:20pm
v2
·
a year ago
1204
v9

for Multiclass

Generated on Aug 2, 2023
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2046 Total Images

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Dataset Split

Train Set 82%
1684Images
Valid Set 9%
181Images
Test Set 9%
181Images

Preprocessing

Resize: Stretch to 223x223
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -1° and +1°
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 1% of pixels