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test-2 Computer Vision Project

New Workspace

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

85.5%

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

Precision

94.5%

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

Recall

85.7%

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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{
                            test-2-koaeq_dataset,
                            title = { test-2 Dataset },
                            type = { Open Source Dataset },
                            author = { New Workspace },
                            howpublished = { \url{ https://universe.roboflow.com/amir-alush/test-2-koaeq } },
                            url = { https://universe.roboflow.com/amir-alush/test-2-koaeq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2025-03-21 },
                            }