MPproject

food_ingredient_each500_2

Object Detection

Roboflow Universe MPproject food_ingredient_each500_2

food_ingredient_each500_2 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_ingredient_each500_2_dataset,
                            title = { food_ingredient_each500_2 Dataset },
                            type = { Open Source Dataset },
                            author = { MPproject },
                            howpublished = { \url{ https://universe.roboflow.com/mpproject/food_ingredient_each500_2 } },
                            url = { https://universe.roboflow.com/mpproject/food_ingredient_each500_2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-06-15 },
                            }
                        

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Source

MPproject

Last Updated

a year ago

Project Type

Object Detection

Subject

ingredients

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Downloads: 3

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License

CC BY 4.0

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