Roboflow Universe Vedant Madankar Intel_unnati

Intel_unnati Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

7826 images

Explore Dataset

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{
                            intel_unnati_dataset,
                            title = { Intel_unnati Dataset },
                            type = { Open Source Dataset },
                            author = { Vedant Madankar },
                            howpublished = { \url{ https://universe.roboflow.com/vedant-madankar-6rf2h/intel_unnati } },
                            url = { https://universe.roboflow.com/vedant-madankar-6rf2h/intel_unnati },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-07-27 },
                            }

Connect Your Model With Program Logic

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

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

Vedant Madankar

Last Updated

9 months ago

Project Type

Object Detection

Subject

Cars

Views: 14

Downloads: 1

License

CC BY 4.0

Classes

0 animal autorickshaw barricades bicycle bridge bullock_cart bus car caravan electric_pole foothpath motorcycle person rider rider_with_helmet rider_without_helmet road road_construction roadway_median speed_breaker stalls street_light traffic light traffic sign trailer train tree triple_seat truck vehicle fallback

Object Detection Model snap