Edit Project

Hand-drawn Logic Gate Classifier

Object Detection

340 images

Hand-drawn Logic Gate Classifier Computer Vision Project

University of San Carlos

Updated 5 months ago

Fork Project

189

views

downloads

Metrics

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

mAP

95.9%

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

Precision

93.1%

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

Recall

96.7%

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{
                            hand-drawn-logic-gate-classifier_dataset,
                            title = { Hand-drawn Logic Gate Classifier Dataset },
                            type = { Open Source Dataset },
                            author = { University of San Carlos },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-san-carlos-f8pqs/hand-drawn-logic-gate-classifier } },
                            url = { https://universe.roboflow.com/university-of-san-carlos-f8pqs/hand-drawn-logic-gate-classifier },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2025-03-24 },
                            }