AutoFoodRec

AFR-Ob2Inst

Instance Segmentation

AFR-Ob2Inst 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{
                            afr-ob2inst_dataset,
                            title = { AFR-Ob2Inst Dataset },
                            type = { Open Source Dataset },
                            author = { AutoFoodRec },
                            howpublished = { \url{ https://universe.roboflow.com/autofoodrec/afr-ob2inst } },
                            url = { https://universe.roboflow.com/autofoodrec/afr-ob2inst },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-03-01 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the AFR-Ob2Inst project in your project.

Source

AutoFoodRec

Last Updated

a month ago

Project Type

Instance Segmentation

Subject

food

Classes

Doughnut Hamburger Sandwich bonchi cake_slice cup_cake cutlet dhal eclair egg egg_roll fish_bun hot_dog kottu leeks mallum noodles omlet pancake papadum pasta pastry patties peas potato red_rice rice roll sambol samosa special_rice string_hoppers submarine ulundu_vadai vadai veg_rotti yellow_rice

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License

MIT

AFR
currymuch-main-meals-boxes-to-segmentations
1901 images