|
--- |
|
task_categories: |
|
- image-classification |
|
tags: |
|
- roboflow |
|
- roboflow2huggingface |
|
- Sports |
|
- Retail |
|
- Benchmark |
|
--- |
|
|
|
<div align="center"> |
|
<img width="640" alt="keremberke/shoe-classification" src="https://huggingface.co/datasets/keremberke/shoe-classification/resolve/main/thumbnail.jpg"> |
|
</div> |
|
|
|
### Dataset Labels |
|
|
|
``` |
|
['converse', 'adidas', 'nike'] |
|
``` |
|
|
|
|
|
### Number of Images |
|
|
|
```json |
|
{'train': 576, 'test': 83, 'valid': 166} |
|
``` |
|
|
|
|
|
### How to Use |
|
|
|
- Install [datasets](https://pypi.org/project/datasets/): |
|
|
|
```bash |
|
pip install datasets |
|
``` |
|
|
|
- Load the dataset: |
|
|
|
```python |
|
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](https://universe.roboflow.com/popular-benchmarks/nike-adidas-and-converse-shoes-classification/dataset/4?ref=roboflow2huggingface) |
|
|
|
### 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. |
|
|
|
|
|
|
|
|
