CNN

Resistores

Classification

Resistores Computer Vision Project

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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{
                            resistores_dataset,
                            title = { Resistores Dataset },
                            type = { Open Source Dataset },
                            author = { CNN },
                            howpublished = { \url{ https://universe.roboflow.com/cnn-s2tuw/resistores } },
                            url = { https://universe.roboflow.com/cnn-s2tuw/resistores },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { nov },
                            note = { visited on 2024-06-18 },
                            }
                        

Connect Your Model With Program Logic

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Source

CNN

Last Updated

7 months ago

Project Type

Classification

Subject

resistencia

Views: 60

Views in previous 30 days: 0

Downloads: 3

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

100R_1-4W 10R_1W 10R_2W 10_1-4W 11M_1-2W 150R_1-4W 150R_1-8W 15R_1-4W 180K_1-2W 1K_1-4W 1K_2W 1M_1-4W 20K_1-4W 220K_1-4W 220R_2W 22R_1-4W 24K_1-2W 270K_1-4W 27R_1W 2K2_1-4W 2R_1W 330R_1-4W 33K_2W 3R9K_1-4W 4700Mohm 470R_1-4W 470R_1W 4K7_1-4W 56K_1W 5K1_1-4W 5K61-4W 620R_1-4W 68K_1W 6R8_1-4W 7K5_1-4W 820R_1-4W 8K2_1-4W Unlabeled