Vendor

Detect footpath vendors

Object Detection

Roboflow Universe Vendor Detect footpath vendors

Detect footpath vendors Computer Vision Project

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Trained Model API

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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.

Cite This Project

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

@misc{
                            detect-footpath-vendors_dataset,
                            title = { Detect footpath vendors Dataset },
                            type = { Open Source Dataset },
                            author = { Vendor },
                            howpublished = { \url{ https://universe.roboflow.com/vendor/detect-footpath-vendors } },
                            url = { https://universe.roboflow.com/vendor/detect-footpath-vendors },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-02-26 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Detect footpath vendors project in your project.

Source

Vendor

Last Updated

7 months ago

Project Type

Object Detection

Subject

Vendors-people

Classes

Auto Barricade Bike Bus Car Distress in footpath Dog Electric Pole Electric pole Footpath Gate Pedestrians Road divider Sign boards Steps Streel Light Traffic Lights Tree Vendors barrier bicycle bicycle cart block in footpath cart divider dust bin horse obstacle pede\ pedestrian people poster pot pothole shop sign board traffic pole barrier tray uneven path vehicle zebra cross

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License

CC BY 4.0