Shantanu Bawankule

On-Road-TS

Object Detection

On-Road-TS Computer Vision Project

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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{
                            on-road-ts_dataset,
                            title = { On-Road-TS Dataset },
                            type = { Open Source Dataset },
                            author = { Shantanu Bawankule },
                            howpublished = { \url{ https://universe.roboflow.com/shantanu-bawankule/on-road-ts } },
                            url = { https://universe.roboflow.com/shantanu-bawankule/on-road-ts },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-03-01 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the On-Road-TS project in your project.

Last Updated

2 years ago

Project Type

Object Detection

Subject

Traffic-Signs

Classes

10 11 12 14 2 21 23 25 26 27 29 3 34 37 40 41 42 43 45 47 48 51 52 55 61 64 65 66 71 72 73 74 75 76 8 9 Ahead or Turn Right Bicycle Crossing Bumpy Road Caution Children Crossing Crossroad Ahead Keep Left Keep Right Left Hand Curve Men At Work No entry No stopping Overtake prohibited Parking Pedestrian crossing Priority Road Right Hand Curve Roundabout Mandatory Signal Lights Ahead Slippery Road Speed limit (100km/h) Speed limit (120km/h) Speed limit (20km/h) Speed limit (30km/h) Speed limit (40km/h) Speed limit (50km/h) Speed limit (60km/h) Speed limit (70km/h) Speed limit (80km/h) Stop Turn Left Ahead Turn Right Ahead

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License

CC BY 4.0