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Flower Classification

Object Detection

950 images

Flower Classification Computer Vision Project

team1

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

80.7%

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

Precision

82.5%

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

Recall

72.1%

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Description

Flower Detection With Bounding Boxes for the types Rose, Chamomile, Dandelion, Sunflower, & Tulip

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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{
                            flower-classification-gsskn_dataset,
                            title = { Flower Classification Dataset },
                            type = { Open Source Dataset },
                            author = { team1 },
                            howpublished = { \url{ https://universe.roboflow.com/team1-0gplr/flower-classification-gsskn } },
                            url = { https://universe.roboflow.com/team1-0gplr/flower-classification-gsskn },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2025-03-09 },
                            }