JetBot Semantic Segmentation Dataset and Pre-Trained Model by aiShuttle

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Explore Dataset

Here are a few use cases for this project:

Autonomous Vehicles Testing: This computer vision model can be used to test the functionality of autonomous vehicles in a simulated environment. This can include obstacle detection and avoidance, road recognition, lane-keeping, and path planning.
Robotics Navigation: The JetBot model can be used in robots for indoor navigation in facilities like warehouses, hospitals, or supermarkets. These robots could detect and avoid obstacles, navigate their path based on the road-class markings, and perform automated tasks like transportation or inventory management.
Video Games Development: The JetBot model can be used for developing video games especially racing games. Game developers can create more realistic game environments where players interact with dynamic and modifiable obstacles and roads.
Traffic Management Systems: The model can be used in traffic management systems to monitor road conditions including obstacle detections. It can be used to spot road hazards and obstacles in order to provide real-time updates to drivers or traffic controllers.
Autonomous Drone Navigation: The JetBot model can be used in drone technology for road tracking and obstacle identification. Drones can leverage this information for aerial surveying, disaster management, or delivery services.

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{
                            jetbot-s9hci_dataset,
                            title = { JetBot Dataset },
                            type = { Open Source Dataset },
                            author = { aiShuttle },
                            howpublished = { \url{ https://universe.roboflow.com/aishuttle/jetbot-s9hci } },
                            url = { https://universe.roboflow.com/aishuttle/jetbot-s9hci },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-06-02 },
                            }