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 2024-05-08 },
                            }
                        

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Source

Vendor

Last Updated

9 months ago

Project Type

Object Detection

Subject

Vendors-people

Views: 170

Views in previous 30 days: 6

Downloads: 20

Downloads in previous 30 days: 1

License

CC BY 4.0

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