metadata

annotations_creators: []
language: en
size_categories:
  - 1K<n<10K
task_categories:
  - image-classification
task_ids: []
tags:
  - fiftyone
  - image
  - image-classification
dataset_summary: >



  ![image/png](dataset_preview.jpg)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 5000
  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/cats-vs-dogs-sample")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

Dataset Card for Dataset Name

Subset of https://huggingface.co./datasets/microsoft/cats_vs_dogs, converted into FiftyOne dataset format.

This is a FiftyOne dataset with 5000 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

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/cats-vs-dogs-sample")

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

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