UNIB

CAT

Classification

CAT Image Dataset

v1

2023-10-20 8:43pm

Generated on Oct 20, 2023

Dataset Split

Train Set 100%
81Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 17% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels