---
annotations_creators: []
language: en
license: mit
task_categories: []
task_ids: []
pretty_name: quickstart-video
tags:
- action-recognition
- fiftyone
- video
- video
description: A dataset of videos for action recognition tasks
dataset_summary: '


  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 10 samples.


  ## Installation

  If you haven''t already, install FiftyOne:


  ```bash

  pip install fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  dataset = fouh.load_from_hub("jamarks/my-action-recognition-dataset")

  ## can also pass in any other dataset kwargs, like `name`, `persistent`, etc.


  # Launch the App

  session = fo.launch_app(dataset)

  ```

  '
---

# Dataset Card for quickstart-video

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



This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 10 samples.

## Installation
If you haven't already, install FiftyOne:

```bash
pip install fiftyone
```

## Usage

```python
import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
dataset = fouh.load_from_hub("jamarks/my-action-recognition-dataset")
## can also pass in any other dataset kwargs, like `name`, `persistent`, etc.

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


## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->



- **Curated by:** [More Information Needed]
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- **Language(s) (NLP):** en
- **License:** mit

### Dataset Sources [optional]

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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]

## Uses

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### Direct Use

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### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

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#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

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**APA:**

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## Glossary [optional]

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## More Information [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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