count-juliett 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{
                            count-juliett_dataset,
                            title = { count-juliett Dataset },
                            type = { Open Source Dataset },
                            author = { MilanR },
                            howpublished = { \url{ https://universe.roboflow.com/milanr/count-juliett } },
                            url = { https://universe.roboflow.com/milanr/count-juliett },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-07-27 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the count-juliett project in your project.

Source

MilanR

Last Updated

a year ago

Project Type

Object Detection

Subject

bananas

Views: 17

Views in previous 30 days: 5

Downloads: 3

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

apple_1 aubergine_1 banana_1 banana_bunch capsicium_pepper_1 dog_egon lemon_1 pepper_1 tomato_1 tomato_bunch
objects
1386 images
bad-classification-test
4608 images
object
2591 images