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Obstacle Detection Computer Vision Project

TARP Proj

Updated a year 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

35.2%

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

Precision

81.3%

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

Recall

28.9%

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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{
                            obstacle-detection-t5lua_dataset,
                            title = { Obstacle Detection Dataset },
                            type = { Open Source Dataset },
                            author = { TARP Proj },
                            howpublished = { \url{ https://universe.roboflow.com/tarp-proj/obstacle-detection-t5lua } },
                            url = { https://universe.roboflow.com/tarp-proj/obstacle-detection-t5lua },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2025-03-06 },
                            }