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Multilabel Classification

Classification

Multilabel Classification Image Dataset

Try Pre-Trained Model
Versions
for Multiclass
v9
·
a year ago
for Autoencoder
v7
·
a year ago
Augmented Grayscale
v4
·
a year ago
Augmented
v3
·
a year ago
2023-07-24 12:20pm
v2
·
a year ago
v3

Augmented

Generated on Jul 24, 2023
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2648 Total Images

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Dataset Split

Train Set 82%
2166Images
Valid Set 9%
240Images
Test Set 9%
242Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels