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Classifying Pineapple Ripeness

Object Detection

349 images

Classifying Pineapple Ripeness Computer Vision Project

Dewaruci

Updated 8 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

88.5%

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

Precision

78.4%

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

Recall

84.2%

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LICENSE

Public Domain

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

                        
        highlighted
        
            
        
     
@misc{
                            classifying-pineapple-ripeness_dataset,
                            title = { Classifying Pineapple Ripeness Dataset },
                            type = { Open Source Dataset },
                            author = { Dewaruci },
                            howpublished = { \url{ https://universe.roboflow.com/dewaruci/classifying-pineapple-ripeness } },
                            url = { https://universe.roboflow.com/dewaruci/classifying-pineapple-ripeness },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2025-03-07 },
                            }