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Multi_vkal_identity Computer Vision Project

multiple vehicle dataset for yolo model with anotation

Updated 10 months 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

95.4%

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

Precision

93.6%

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

Recall

92.8%

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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:

                        
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@misc{
                            multi_vkal_identity_dataset,
                            title = { Multi_vkal_identity Dataset },
                            type = { Open Source Dataset },
                            author = { multiple vehicle dataset for yolo model with anotation },
                            howpublished = { \url{ https://universe.roboflow.com/multiple-vehicle-dataset-for-yolo-model-with-anotation/multi_vkal_identity } },
                            url = { https://universe.roboflow.com/multiple-vehicle-dataset-for-yolo-model-with-anotation/multi_vkal_identity },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2025-03-20 },
                            }