Mohamed Traore


Object Detection


Cats Computer Vision Project

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About this Dataset

This dataset was created by exporting the Oxford Pets dataset from Roboflow Universe, generating a version with Modify Classes to drop all of the classes for the labeled dog breeds and consolidating all cat breeds under the label, "cat." The bounding boxes were also modified to incude the entirety of the cats within the images, rather than only their faces/heads.

Annotated image of a cat from the dataset

Oxford Pets

  • The Oxford Pets dataset (also known as the "dogs vs cats" dataset) is a collection of images and annotations labeling various breeds of dogs and cats. There are approximately 100 examples of each of the 37 breeds. This dataset contains the object detection portion of the original dataset with bounding boxes around the animals' heads.

  • Origin: This dataset was collected by the Visual Geometry Group (VGG) at the University of Oxford.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ cats-n9b87_dataset,
    title = { Cats Dataset },
    type = { Open Source Dataset },
    author = { Mohamed Traore },
    howpublished = { \url{ } },
    url = { },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { nov },
    note = { visited on 2023-12-02 },

Find utilities and guides to help you start using the Cats project in your project.

Last Updated

a year ago

Project Type

Object Detection





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