UT Zappos50K

Introduced by Yu et al. in Fine-Grained Visual Comparisons with Local Learning

UT Zappos50K is a large shoe dataset consisting of 50,025 catalog images collected from Zappos.com. The images are divided into 4 major categories — shoes, sandals, slippers, and boots — followed by functional types and individual brands. The shoes are centered on a white background and pictured in the same orientation for convenient analysis.

Source: UT Zappos50K

Papers


Paper Code Results Date Stars

Dataset Loaders


Tasks


Similar Datasets


Modalities


Languages