visual-layer/human-action-recognition-vl-enriched

---
dataset_info:
features:
- name: image_uri
dtype: string
- name: image_label
dtype: string
- name: image_issues
list:
- name: confidence
dtype: float64
- name: description
dtype: string
- name: duplicate_group_id
dtype: string
- name: issue_type
dtype: string
- name: object_labels
list:
- name: label
dtype: string
- name: bbox
sequence: float64
- name: bbox_id
dtype: string
splits:
- name: train
num_bytes: 8593739
num_examples: 18000
download_size: 3956786
dataset_size: 8593739
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

<div style="text-align: center;">
<a href="https://app.visual-layer.com/dataset/8a745e5c-62b1-11ef-81a8-86379c8dcb15/data?p=1&page=1&utm_source=hugging_face" style="display: inline-block; padding: 10px 20px; background-color: rgba(128, 0, 128, 0.5); color: white; text-decoration: none; border-radius: 5px; font-family: Arial, sans-serif; font-size: 16px;">
Visualize on Visual Layer
</a>
</div>

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/66c73598ac384b32b9c7725a/13BiZwU39ePv-gYe-eDkp.qt"></video>

# Human-Action-Recognition-VL-Enriched

An enriched version of the Human-Action-Recognition Dataset with image captions, bounding boxes, and label issues! With this additional information, the Human-Action-Recognition dataset can be extended to various tasks such as image retrieval or visual question answering.

The label issues help curate a cleaner and leaner dataset.

## Description

The dataset consists of 4 columns:

- `image_uri`: The uri of original image from the Human-Action-Recognition dataset.
- `label`: Label for the image, provided by the authors of the Human-Action-Recognition dataset.
- `image_issues`: Quality issues found using Visual Layer enrichment process, such as duplicate, mislabeled, dark, blurry, bright, and outlier images.
- `object_labels`: Objects labels and bbox found using Visual Layer enrichment process in the image.

## Usage

This dataset can be used with the Hugging Face Datasets library:

```python
import datasets
ds = datasets.load_dataset("visual-layer/human-action-recognition-vl-enriched")
```

## Interactive Visualization

Visual Layer provides a platform to interactively visualize a dataset and highlight quality issues such as duplicates, mislabels, outliers, etc. Check it out [here](https://app.visual-layer.com/dataset/3972b3fc-1809-11ef-bb76-064432e0d220/data?p=1&page=1&utm_source=hugging_face). No sign-up required.

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/66c73598ac384b32b9c7725a/13BiZwU39ePv-gYe-eDkp.qt"></video>

<div style="text-align: center;">
<a href="https://app.visual-layer.com/dataset/8a745e5c-62b1-11ef-81a8-86379c8dcb15/data?p=1&page=1&utm_source=hugging_face" style="display: inline-block; padding: 10px 20px; background-color: rgba(128, 0, 128, 0.5); color: white; text-decoration: none; border-radius: 5px; font-family: Arial, sans-serif; font-size: 16px;">
Visualize on Visual Layer
</a>
</div>

## License & Disclaimer

We provide no warranty on the dataset, and the user takes full responsibility for the usage of the dataset. By using the dataset, you agree to the terms of the Human-Action-Recognition dataset license.

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<div style="margin-top:20px;">Copyright © 2024 Visual Layer. All rights reserved.</div>
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