Shantanu Bawankule


Object Detection

TSDNR 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:

                            title = { TSDNR Dataset },
                            type = { Open Source Dataset },
                            author = { Shantanu Bawankule },
                            howpublished = { \url{ } },
                            url = { },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { mar },
                            note = { visited on 2024-02-23 },

Connect Your Model With Program Logic

Find utilities and guides to help you start using the TSDNR project in your project.

Last Updated

2 years ago

Project Type

Object Detection




Ahead only Beware of ice/snow Bicycles Crossing Bumpy Road Children Crossing Double curve End of all speed and passing limits End of no passing End of no passing by vehicles over 3.5 metric tons End of speed limit (80km/h) General caution Go straight or left Go straight or right Keep left Keep right Left curve No entry No passing No passing for vehicles over 3.5 metric tons No vehicles Pedestrians Priority road Right Curve Road Block Road Narrows On Right Road Work Roundabout mandatory Slippery Road Speed limit (100km/h) Speed limit (120km/h) Speed limit (20km/h) Speed limit (30km/h) Speed limit (50km/h) Speed limit (60km/h) Speed limit (70km/h) Speed limit (80km/h) Stop Traffic Signals Turn left ahead Turn right ahead Vehicles over 3.5 metric tons prohibited Wild animals crossing Yield

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