COOLTAR

kultar

Object Detection

kultar 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{
                            kultar_dataset,
                            title = { kultar Dataset },
                            type = { Open Source Dataset },
                            author = { COOLTAR },
                            howpublished = { \url{ https://universe.roboflow.com/cooltar/kultar } },
                            url = { https://universe.roboflow.com/cooltar/kultar },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-04-30 },
                            }
                        

Connect Your Model With Program Logic

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

Source

COOLTAR

Last Updated

4 months ago

Project Type

Object Detection

Subject

fruits-rZug

Views: 34

Views in previous 30 days: 24

Downloads: 3

Downloads in previous 30 days: 2

License

CC BY 4.0

Classes

fresh-apple fresh-chilli fresh-collardgreen fresh-dragonfruit fresh-tomato fresh-watermelon rotten-apple rotten-chilli rotten-collardgreen rotten-dragonfruit rotten-tomato rotten-watermelon unfresh-apple unfresh-chilli unfresh-collardgreen unfresh-dragonfruit unfresh-tomato unfresh-watermelon