README.md

---
annotations_creators: []
language: en
size_categories:
- 10K<n<100K
task_categories:
- image-classification
task_ids: []
pretty_name: StanfordDogs
tags:
- fiftyone
- image
- image-classification
dataset_summary: '



  ![image/png](dataset_preview.jpg)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 20580 samples.


  ## Installation


  If you haven''t already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include ''max_samples'', etc

  dataset = fouh.load_from_hub("Voxel51/StanfordDogs")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

  '
---

# Dataset Card for StanfordDogs

<!-- Provide a quick summary of the dataset. -->




![image/png](dataset_preview.jpg)


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 20580 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/StanfordDogs")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details

### Dataset Description

The Stanford Dogs dataset contains images of 120 breeds of dogs from around the world. This dataset has been built using images and annotation from ImageNet for the task of fine-grained image categorization. Contents of this dataset:

- Number of categories: 120
- Number of images: 20,580
- Annotations: Class labels, Bounding boxes

<!-- Provide a longer summary of what this dataset is. -->

- **Language(s) (NLP):** en
- **License:** [More Information Needed]

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

- **Paper:** [Novel dataset for Fine-Grained Image Categorization](http://people.csail.mit.edu/khosla/papers/fgvc2011.pdf)
- **Homepage:** http://vision.stanford.edu/aditya86/ImageNetDogs/

## Uses

Fine-grained visual classification

<!-- Address questions around how the dataset is intended to be used. -->


## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```bibtex
@inproceedings{KhoslaYaoJayadevaprakashFeiFei_FGVC2011,
  author = "Aditya Khosla and Nityananda Jayadevaprakash and Bangpeng Yao and Li Fei-Fei",
  title = "Novel Dataset for Fine-Grained Image Categorization",
  booktitle = "First Workshop on Fine-Grained Visual Categorization, IEEE Conference on Computer Vision and Pattern Recognition",
  2011,
  month = "June",
  address = "Colorado Springs, CO",
}
```


## Dataset Card Authors

[Jacob Marks](https://huggingface.co/jamarks)

## Dataset Contacts

aditya86@cs.stanford.edu and bangpeng@cs.stanford.edu