README.md

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

### Dataset Sources [optional]

<!-- Provide the basic links for the dataset. -->

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

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

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[More Information Needed]

### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

[More Information Needed]

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

#### Annotation process

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[More Information Needed]

#### Who are the annotators?

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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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[More Information Needed]

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

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]

<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->

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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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