Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
File size: 1,541 Bytes
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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). |