“We were very happy with the quality of the data that we purchased. It will assist our efforts to improve our product. The team at Unidata was very responsive to our needs, and provided the data format needed to complete our tasks. We are happy to state that Unidata delivers a high quality product in an effective and efficient manner.”
Commercial
Gesture Recognition Dataset
This dataset offers videos of clearly demonstrated hand gestures for hand gesture recognition, movement recognition, and hand gesture detection, providing labeled training data that supports recognition systems and hand tracking for building AI models that accurately identify hand movements, finger movements, and specific gestures to improve user interfaces, object detection, and sign recognition applications.
-
- videos
- 10,000+
-
- hand gestures
- 5
- Gesture Recognition
- Detection
- Human-Computer Interaction
- Computer Vision
- Machine learning
- Gesture Recognition
- Detection
- Human-Computer Interaction
- Computer Vision
- Machine learning
This dataset offers videos of clearly demonstrated hand gestures for hand gesture recognition, movement recognition, and hand gesture detection, providing labeled training data that supports recognition systems and hand tracking for building AI models that accurately identify hand movements, finger movements, and specific gestures to improve user interfaces, object detection, and sign recognition applications.
- Gesture Recognition
- Detection
- Human-Computer Interaction
- Computer Vision
- Machine learning
-
- videos
- 10,000+
-
- hand gestures
- 5
Dataset Info
| Characteristic | Data |
| Description | Each video shows a person clearly demonstrating a single hand gesture |
| Data types | Video |
| Tasks | Detection, Classification, Recognition |
| Number of video | 10,000+ |
| Labeling | Metadata(id, gender) |
| Gender | Male, female |
| Type of hand gesture | One, four, small, fist, and me. |
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Technical
Characteristics
| Characteristic | Data |
| File extension | MP4 |
Dataset Use Cases
FAQs
What types of annotations are provided?
The dataset includes metadata annotations detailing participant ID and gender, which are useful for analyzing gesture performance across demographics. These labels help refine learning algorithms and improve model generalization for gesture recognition tasks.
Is it possible to request a custom dataset?
Yes. Unidata supports the creation of custom gesture datasets based on specific research needs, device setups, or gesture categories. You can request tailored training datasets that align with unique requirements for gesture recognition and hand motion detection models.
Can I request a sample of the dataset before purchasing?
Yes. Unidata provides free sample data so you can test the hand gesture recognition quality, labeling format, and compatibility with your machine learning pipeline before purchasing the full dataset.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. All Unidata datasets fully comply with GDPR and other relevant data protection laws. Each dataset is collected from legally permissible sources, ensuring privacy and ethical handling of all recorded participants and content.
How are Unidata datasets stored?
All Unidata datasets are securely stored on AWS cloud infrastructure, ensuring both high availability and strong data protection. The storage system complies with ISO 27001 and ISO 27701 standards, providing a reliable environment for AI training datasets.
How long does it take to receive the dataset?
After submitting your purchase request, Unidata will confirm your details and issue the necessary documentation. Once the agreement and payment are finalized, the dataset is securely delivered within 3–10 business days.
Why is a single gesture recorded in each video?
Each video focuses on one clearly demonstrated gesture, allowing AI models to learn distinct motion patterns without interference from unrelated actions. This improves classification accuracy and simplifies supervised model training.
Can this dataset be used for robotics and physical AI?
Yes. Robots can use gesture recognition models trained on this dataset to understand human commands and improve human-robot interaction. It is particularly valuable for service robots, collaborative robots, and intelligent automation systems.
Still have questions about using Unidata datasets?
Read our user-guides
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