---
license: cc-by-nc-nd-4.0
task_categories:
- video-classification
language:
- en
tags:
- code
---

# Hand Gesture Recognition Dataset
The dataset consists of videos showcasing individuals demonstrating 5 different hand gestures (*"one", "four", "small", "fist", and "me"*). Each video captures a person prominently displaying a single hand gesture, allowing for accurate identification and differentiation of the gestures.

The dataset offers a diverse range of individuals performing the gestures, enabling the exploration of variations in hand shapes, sizes, and movements across different individuals. 

The videos in the dataset are recorded in reasonable lighting conditions and with adequate resolution, to ensure that the hand gestures can be easily observed and studied.

### The dataset's possible applications:
- hand gesture recognition
- gesture-based control systems
- virtual reality interactions
- sign language analysis
- human pose estimation and action analysis
- security and authentication systems

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2F02149459e1fc1f76e2575dcdba6ec406%2FMacBook%20Air%20-%201.png?generation=1689667735287012&alt=media)

# Get the Dataset

### This is just an example of the data

If you need access to the entire dataset, contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)**

# Content

- **files**: includes folders corresponding to people and containing videos with 5 different shown gestures, each file is named according to the captured gesture
- **.csv** file: contains information about files in the dataset

### Hand gestures in the dataset:
- "one" 
- "four"
- "small"
- "clenched fist" 
- "me"

### File with the extension .csv

includes the following information:

- **set_id**: id of the set of videos,
- **one**: link to the video with "one" gesture, 
- **four**: link to the video with "four" gesture,
- **small**: link to the video with "small" gesture,
- **fist**: link to the video with "fist" gesture,
- **me**: link to the video with "me" gesture

# Videos with hand gestures might be collected in accordance with your requirements.

## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/trainingdata-pro**