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Defect detection and classification on hot rolled steel

Object Detection

1.8k images

Defect detection and classification on hot rolled steel Computer Vision Project

Stanley Otieno

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

76.3%

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

Precision

69.8%

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

Recall

76.4%

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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{
                            defect-detection-and-classification-on-hot-rolled-steel_dataset,
                            title = { Defect detection and classification on hot rolled steel  Dataset },
                            type = { Open Source Dataset },
                            author = { Stanley Otieno },
                            howpublished = { \url{ https://universe.roboflow.com/stanley-otieno-d9kdg/defect-detection-and-classification-on-hot-rolled-steel } },
                            url = { https://universe.roboflow.com/stanley-otieno-d9kdg/defect-detection-and-classification-on-hot-rolled-steel },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2025-03-24 },
                            }