README.md

---
annotations_creators: []
language: en
size_categories:
- 10K<n<100K
task_categories:
- image-classification
task_ids: []
pretty_name: mnist-curated
tags:
- fiftyone
- image
- image-classification
dataset_summary: '




  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 70000 samples.


  ## Installation


  If you haven''t already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  from fiftyone.utils.huggingface import load_from_hub


  # Load the dataset

  # Note: other available arguments include ''max_samples'', etc

  dataset = load_from_hub("maxspeer/curated-mnist5")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

  '
---

# Dataset Card for mnist-curated

<!-- Provide a quick summary of the dataset. -->





This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 70000 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("maxspeer/curated-mnist5")

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


## Dataset Details
This dataset was curated as part of the "Applied Hands-On Computer Visio Course" taught by Antonio Rueda-Toicen.

View on [Colab](https://colab.research.google.com/drive/17peUlIbBcOcK6tydyuzGRiwkFQxpZ1Ri?usp=sharing).