Roboflow Universe TDC cowid

cowid Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

1818 images

Explore Dataset

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{
                            cowid-hnvvu_dataset,
                            title = { cowid Dataset },
                            type = { Open Source Dataset },
                            author = { TDC },
                            howpublished = { \url{ https://universe.roboflow.com/tdc-guequ/cowid-hnvvu } },
                            url = { https://universe.roboflow.com/tdc-guequ/cowid-hnvvu },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-06-01 },
                            }

Connect Your Model With Program Logic

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

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

TDC

Last Updated

4 months ago

Project Type

Classification

Subject

cow-ids

Views: 101

Downloads: 5

License

CC BY 4.0

Classes

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

Classification Model