HandsGesture Object Detection Dataset and Pre-Trained Model by MyRoboFlow

Images

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Explore Dataset

Here are a few use cases for this project:

Gesture-based user interfaces: HandsGesture can be incorporated into a system to recognize different hand gestures for controlling devices or software, providing users with an intuitive and natural way to interact with technology.
Sign language interpretation: By recognizing various hand gestures, HandsGesture can be used to develop tools that help facilitate communication for those who rely on sign language or assist in learning sign language.
Smart home automation: HandsGesture can be integrated with smart home systems to allow users to control various appliances, lights, and devices in their home using specific hand gestures.
Virtual or Augmented Reality experiences: HandsGesture can be implemented in VR or AR systems to allow users to interact with virtual objects and environments through natural hand gestures, enhancing the immersive experience.
Rehabilitation and physiotherapy: HandsGesture can be employed in healthcare settings to track patients' hand movement progress during rehabilitation or physiotherapy exercises, assisting healthcare providers in assessing the patient's recovery status.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite this Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ handsgesture_dataset,
    title = { HandsGesture Dataset },
    type = { Open Source Dataset },
    author = { MyRoboFlow },
    howpublished = { \url{ https://universe.roboflow.com/myroboflow-4lrje/handsgesture } },
    url = { https://universe.roboflow.com/myroboflow-4lrje/handsgesture },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { mar },
    note = { visited on 2023-12-08 },
}