task_categories:image-classification license:cc-by-sa-4.0 region:us
---
license: cc-by-sa-4.0
dataset_info:
  features:
  - name: path
    dtype: string
  - name: label
    dtype: string
  - name: dog
    dtype: bool
  - name: image
    dtype: image
  splits:
  - name: train
    num_bytes: 231255601.70054126
    num_examples: 7281
  download_size: 230967271
  dataset_size: 231255601.70054126
task_categories:
- image-classification
---
# Description

The vl-oxford-iiit-pets dataset by [Visual Layer](https://visual-layer.com) is a sanitized version of the original [Oxford IIIT Pet](https://www.robots.ox.ac.uk/~vgg/data/pets/) dataset. 
This dataset comprises 37 categories of pet images, with approximately 200 images per class with variations in scale, pose, and lighting.

The following are issues found in the original dataset and removed in this dataset:

<table>
    <thead>
        <tr>
            <th style="text-align: left;">Category</th>
            <th style="text-align: left;">Percentage</th>
            <th style="text-align: left;">Count</th>
        </tr>
    </thead>
    <tbody>
        <tr>
            <td style="text-align: left;">Duplicates</td>
            <td style="text-align: left;"><div>1.016%</div></td>
            <td style="text-align: left;"><div>75</div></td>
        </tr>
        <tr>
            <td style="text-align: left;">Outliers</td>
            <td style="text-align: left;"><div>0.1%</div></td>
            <td style="text-align: left;"><div>7</div></td>
        </tr>
        <tr>
            <td style="text-align: left;">Dark</td>
            <td style="text-align: left;"><div>0.05%</div></td>
            <td style="text-align: left;"><div>4</div></td>
        </tr>
        <tr>
            <td style="text-align: left;">Leakage</td>
            <td style="text-align: left;"><div>0.31%</div></td>
            <td style="text-align: left;"><div>23</div></td>
        </tr>
        <tr>
            <td style="text-align: left; font-weight: bold;">Total</td>
            <td style="text-align: left; font-weight: bold;"><div>1.48%</div></td>
            <td style="text-align: left; font-weight: bold;"><div>132</div></td>
        </tr>
    </tbody>
</table>

Learn more - https://docs.visual-layer.com/docs/available-datasets#vl-oxford-iiit-pets


# About Visual-Layer

<div align="center">
<a href="https://www.visual-layer.com">
  <img alt="Visual Layer Logo" src="https://github.com/visual-layer/visuallayer/blob/main/imgs/vl_horizontal_logo.png?raw=true" alt="Logo" width="400">
</a>
</div>


Visual Layer is founded by the authors of [XGBoost](https://github.com/apache/tvm), [Apache TVM](https://github.com/apache/tvm) & [Turi Create](https://github.com/apple/turicreate) - [Danny Bickson](https://www.linkedin.com/in/dr-danny-bickson-835b32), [Carlos Guestrin](https://www.linkedin.com/in/carlos-guestrin-5352a869) and [Amir Alush](https://www.linkedin.com/in/amiralush).

Learn more about Visual Layer [here](https://visual-layer.com).