Roboflow Universe veloborden Velotech

Velotech Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

4588 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{
                            velotech-42fho_dataset,
                            title = { Velotech Dataset },
                            type = { Open Source Dataset },
                            author = { veloborden },
                            howpublished = { \url{ https://universe.roboflow.com/veloborden/velotech-42fho } },
                            url = { https://universe.roboflow.com/veloborden/velotech-42fho },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-18 },
                            }

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Velotech 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

veloborden

Last Updated

10 months ago

Project Type

Object Detection

Subject

Damaged-traffic-signs

Views: 27

Downloads: 2

License

CC BY 4.0

Classes

0 A+ color_A color_B color_C color_D dents_A dents_B dents_C dents_D dirt_A dirt_B dirt_C dirt_D paint_A paint_B paint_C paint_D stickers-graffiti_A stickers-graffiti_B stickers-graffiti_C stickers-graffiti_D tiltedness_A tiltedness_B tiltedness_C tiltedness_D twisted-turned_A twisted-turned_B twisted-turned_C twisted-turned_D

Object Detection Model snap