Circuits Project

Resistor Detection

Object Detection

Resistor Detection Computer Vision Project

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Resistor Detection

Overview

The purpose of the resistor detection dataset is to provide training and test data for an object detection model able to classify simple circuit components on a breadboard.

The end vision is a mobile application where the user takes a picture of their breadboard and the circuit is then automatically simulated. The results of the simulation will inform the user as to whether the circuit constructed is safe, fully connected, and devoid of shorts.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            resistor-detection-5azes_dataset,
                            title = { Resistor Detection  Dataset },
                            type = { Open Source Dataset },
                            author = { Circuits Project },
                            howpublished = { \url{ https://universe.roboflow.com/circuits-project/resistor-detection-5azes } },
                            url = { https://universe.roboflow.com/circuits-project/resistor-detection-5azes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-02-23 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Resistor Detection project in your project.

Last Updated

a year ago

Project Type

Object Detection

Subject

circuits

Classes

breadboard resistor wire

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License

CC BY 4.0