capstone Object Detection Dataset and Pre-Trained Model by 3Feb training

Images

8897 images

Explore Dataset

Here are a few use cases for this project:

Navigational Aid for People with Visual Impairments: The "capstone" model could be used in a mobile app to help visually-impaired individuals navigate through cities by identifying signs and arrows and providing audible prompts based on these findings.
Advanced Driver Assistance Systems (ADAS): This model can be incorporated in car systems to assist drivers by recognizing and interpreting road signs and arrows, alerting drivers to relevant information such as handicapped parking areas, ramps, MRT stations and more.
Building Management Systems: The model could be integrated into building management systems to monitor signs visibility in places such as shopping malls or public buildings, ensuring signs like toilets, lifts, childcare, and fitness are correctly placed and easy to see.
Augmented Reality (AR) Tourist Guide Apps: By identifying signs and arrows, the model could be used to enhance AR-powered tourist guide applications, providing users with real-time information about nearby sights, facilities, and directions.
Urban Planning and Development: The model could assist city planners and architects in analyzing the placement and sufficiency of signs in an urban environment, enabling improvements in public signage systems.

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{
                            capstone-3cnl7_dataset,
                            title = { capstone Dataset },
                            type = { Open Source Dataset },
                            author = { 3Feb training },
                            howpublished = { \url{ https://universe.roboflow.com/3feb-training/capstone-3cnl7 } },
                            url = { https://universe.roboflow.com/3feb-training/capstone-3cnl7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-28 },
                            }