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Public Transport Detection & Classification

Object Detection

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Public Transport Detection & Classification Computer Vision Project

Final Year Project Testing

Updated 2 years ago

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Metrics

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

mAP

31.8%

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

Precision

37.0%

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

Recall

23.3%

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LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            public-transport-detection-classification_dataset,
                            title = { Public Transport Detection & Classification Dataset },
                            type = { Open Source Dataset },
                            author = { Final Year Project  Testing },
                            howpublished = { \url{ https://universe.roboflow.com/final-year-project-testing-zd24o/public-transport-detection-classification } },
                            url = { https://universe.roboflow.com/final-year-project-testing-zd24o/public-transport-detection-classification },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2025-03-21 },
                            }