Hand Instance Segmentation Dataset and Pre-Trained Model by RWTH

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Explore Dataset

Here are a few use cases for this project:

Industrial Safety Compliance: This model could be employed in factory or construction settings to monitor worker hand placement in relation to heavy machinery or dangerous environments, reducing the risk of accidents and maintaining safety compliance.
Human-Robot Interaction: The model can aid in developing intelligent systems for human-robot interaction where the robot tasks are dependent on hand signals given by a worker, such as controlling equipment, moving goods, or directing robots.
Augmented Reality Applications: The "Hand" model can contribute to enhancing AR applications by recognizing worker's hand gestures and transforming them into commands, thus facilitating hands-free control over AR visualization tools.
Ergonomic Study and Workspace Design: By studying how workers use their hands in various operations, the model can provide insights to improve ergonomic design in workplaces, mitigating the risk of repetitive stress injuries.
Assembly Line Automation: The model can be used to monitor hand movements of workers for quality control, detecting any deviation from standard procedures on the assembly line and helping optimize processes.

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{
                            hand-xp8dy_dataset,
                            title = { Hand  Dataset },
                            type = { Open Source Dataset },
                            author = { RWTH },
                            howpublished = { \url{ https://universe.roboflow.com/rwth-gxwxz/hand-xp8dy } },
                            url = { https://universe.roboflow.com/rwth-gxwxz/hand-xp8dy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-04-27 },
                            }