README.md

metadata

task_categories:
  - image-classification
tags:
  - roboflow
  - roboflow2huggingface
  - Sports
  - Retail
  - Benchmark

Dataset Labels

['converse', 'adidas', 'nike']

Number of Images

{'train': 576, 'test': 83, 'valid': 166}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/shoe-classification", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/popular-benchmarks/nike-adidas-and-converse-shoes-classification/dataset/4

Citation

License

Public Domain

Dataset Summary

This dataset was exported via roboflow.com on October 28, 2022 at 2:38 AM GMT

Roboflow is an end-to-end computer vision platform that helps you

• collaborate with your team on computer vision projects
• collect & organize images
• understand unstructured image data
• annotate, and create datasets
• export, train, and deploy computer vision models
• use active learning to improve your dataset over time

It includes 825 images. Shoes are annotated in folder format.

The following pre-processing was applied to each image:

• Auto-orientation of pixel data (with EXIF-orientation stripping)

No image augmentation techniques were applied.