Roboflow Universe MPproject food_ingredient_each500_2

food_ingredient_each500_2 Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

1884 images
Explore Dataset

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 2023-06-08 },
}

Source

MPproject

Last Updated

4 months ago

Project Type

Object Detection

Subject

ingredients

Classes

Egg, Peach, Tofu, Tomato, crab, shrimp

Views: 19

Views in previous 30 days: 6

Downloads: 0

Downloads in previous 30 days: 0

License

CC BY 4.0