NUTRISCAN

TesNutriscan

Object Detection

TesNutriscan 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{ tesnutriscan_dataset,
    title = { TesNutriscan Dataset },
    type = { Open Source Dataset },
    author = { NUTRISCAN },
    howpublished = { \url{ https://universe.roboflow.com/nutriscan/tesnutriscan } },
    url = { https://universe.roboflow.com/nutriscan/tesnutriscan },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { may },
    note = { visited on 2023-11-29 },
}

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

Source

NUTRISCAN

Last Updated

6 months ago

Project Type

Object Detection

Subject

food-and-beverage

Classes

1, 12, 17, 19, anggur, apel, arem, ayam, bakpia, bakso, bakwan, batagor, botol, buah, bubur, burger, cakwe, capcay, crepes, cumi, cup, dendeng, donat, durian, esbuah, eskrim, fuyunghai, gelas, gorengan, gudeg, ikan, jagung, jajanpasar, jeruk, kacang, kaleng, kebab, kentang, kerang, kerupuk, ketoprak, kue, martabak, mie, muffin, nasi, nugget, onde-onde, pempek, rambutan, rendang, sambal, sate, sayurbayam, steak, stroberi, sup, sushi, tahu, telur, tempe, tumis, udang, waffle

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License

CC BY 4.0