Signboard Detection Object Detection Dataset and Pre-Trained Model by va50

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Explore Dataset

Here are a few use cases for this project:

Navigation Assistance in Autonomous Vehicles: The "Signboard Detection" model can be used to improve the navigation systems of self-driving cars or drones. Autonomous vehicles can detect and read the signboards to understand directions, warnings, speed limits, etc., thus ensuring safer and more efficient transportation.
Warehouse Management: The model can be of huge benefit in large warehouses. It can assist robots in identifying signboards for different sections, ensuring efficient sorting, packaging, and transportation of items.
Urban Planning: City planners and engineers can use the model to survey and catalog various signboards present in the city. This could help in maintaining, replacing or planning new signboards, thereby facilitating effective traffic management.
Assistance for visually impaired: This model can be integrated into aids used by visually impaired individuals. By identifying and interpreting signboards, it can help them navigate more independently and safely.
Outdoor Advertisements Analysis: Business and marketing analysts can utilize this model to detect and evaluate the placement of outdoor advertisements or billboards, which can inform advertising and branding strategies.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            signboard-detection-smrhy_dataset,
                            title = { Signboard Detection Dataset },
                            type = { Open Source Dataset },
                            author = { va50 },
                            howpublished = { \url{ https://universe.roboflow.com/va50/signboard-detection-smrhy } },
                            url = { https://universe.roboflow.com/va50/signboard-detection-smrhy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-05-10 },
                            }