school

Food

Object Detection

Food 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.

YOLOv5

This project has a YOLOv5 model checkpoint available for inference with Roboflow Deploy. YOLOv5 is a proven and tested, production ready, state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            food-pion4_dataset,
                            title = { Food Dataset },
                            type = { Open Source Dataset },
                            author = { school },
                            howpublished = { \url{ https://universe.roboflow.com/school-yrws4/food-pion4 } },
                            url = { https://universe.roboflow.com/school-yrws4/food-pion4 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }
                        

Connect Your Model With Program Logic

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

Source

school

Last Updated

8 days ago

Project Type

Object Detection

Subject

foods

Views: 630

Views in previous 30 days: 21

Downloads: 33

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Kabayaki sea bream fillet Spam apple (sliced) cabbage coin creamy tofu creamy tofu (without sauce) cucumber egg tofu firm tofu fish cake fried chicken cutlet fried potato grilled pork guava (sliced) mustard greens pig blood curd pig liver pineapple pumpkin red grilled pork soy egg sweet potato leaves