Edit Project

ActiveMobilityDevices

Object Detection

60 images

ActiveMobilityDevices Computer Vision Project

Detecting Objects Active Mobility Devices

Updated 9 months ago

Fork Project

views

download

Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

49.0%

Precision measures how often your model's predictions are correct. Learn more

Precision

47.8%

Recall measures what percentage of relevant labels were successfully identified. Learn more

Recall

56.4%

Try This Model

Drop an image or

browse your device

A description for this project has not been published yet.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Cite This Project

LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            activemobilitydevices_dataset,
                            title = { ActiveMobilityDevices Dataset },
                            type = { Open Source Dataset },
                            author = { Detecting Objects Active Mobility Devices },
                            howpublished = { \url{ https://universe.roboflow.com/detecting-objects-active-mobility-devices/activemobilitydevices } },
                            url = { https://universe.roboflow.com/detecting-objects-active-mobility-devices/activemobilitydevices },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jun },
                            note = { visited on 2025-03-21 },
                            }