Edit Project

PCB_defect_detection

Object Detection

693 images

PCB_defect_detection Computer Vision Project

Md Sanowar Hossain

Updated a year ago

views

download

Metrics

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

mAP

96.0%

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

Precision

95.0%

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

Recall

94.2%

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{
                            pcb_defect_detection-xc21x_dataset,
                            title = { PCB_defect_detection Dataset },
                            type = { Open Source Dataset },
                            author = { Md Sanowar Hossain },
                            howpublished = { \url{ https://universe.roboflow.com/md-sanowar-hossain-bkkro/pcb_defect_detection-xc21x } },
                            url = { https://universe.roboflow.com/md-sanowar-hossain-bkkro/pcb_defect_detection-xc21x },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2025-04-01 },
                            }