visual-layer/vl-oxford-iiit-pets

---
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).

原始信息汇总

数据集概述

基本信息

• 许可证: cc-by-sa-4.0
• 数据集大小:
  • 下载大小: 230967271 字节
  • 数据集大小: 231255601.70054126 字节

数据集结构

• 特征:
  • path: 字符串类型
  • label: 字符串类型
  • dog: 布尔类型
  • image: 图像类型
• 分割:
  • train: 7281个样本，占用231255601.70054126字节

数据集内容

• 类别数量: 37类
• 每类样本数: 约200张图像
• 图像特性: 包含尺度、姿态和光照的变化

数据集处理

• 移除的问题:
  • 重复: 1.016% (75个)
  • 异常值: 0.1% (7个)
  • 过暗图像: 0.05% (4个)
  • 数据泄露: 0.31% (23个)
  • 总计: 1.48% (132个)