4k images

Pests in Cucumber Computer Vision Project

YOLO

Updated 2 months ago

views

downloads

Metrics

mAP is equal to the average of the Average Precision metric across all classes in a model. Learn more

mAP

70.9%

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

Precision

77.2%

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

Recall

66.5%

Try This Model

Drop an image or

browse your device

A description for this project has not been published yet.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Cite This Project

LICENSE

CC BY 4.0

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

                        
        highlighted
        
            
        
     
@misc{
                            pests-in-cucumber-fz9it-hnthd_dataset,
                            title = { Pests in Cucumber Dataset },
                            type = { Open Source Dataset },
                            author = { YOLO },
                            howpublished = { \url{ https://universe.roboflow.com/yolo-4djnk/pests-in-cucumber-fz9it-hnthd } },
                            url = { https://universe.roboflow.com/yolo-4djnk/pests-in-cucumber-fz9it-hnthd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2025 },
                            month = { jan },
                            note = { visited on 2025-03-08 },
                            }