--- 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:
Category Percentage Count
Duplicates
1.016%
75
Outliers
0.1%
7
Dark
0.05%
4
Leakage
0.31%
23
Total
1.48%
132
Learn more - https://docs.visual-layer.com/docs/available-datasets#vl-oxford-iiit-pets # About Visual-Layer
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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).