Research

Food Recognition

Object Detection

Food Recognition Computer Vision Project

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Trained Model API

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YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new 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-recognition-zphpp_dataset,
                            title = { Food Recognition Dataset },
                            type = { Open Source Dataset },
                            author = { Research },
                            howpublished = { \url{ https://universe.roboflow.com/research-pvx7w/food-recognition-zphpp } },
                            url = { https://universe.roboflow.com/research-pvx7w/food-recognition-zphpp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-06 },
                            }
                        

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Source

Research

Last Updated

9 days ago

Project Type

Object Detection

Subject

Food-items

Views: 36

Views in previous 30 days: 36

Downloads: 4

Downloads in previous 30 days: 4

License

CC BY 4.0

Classes

Aloo Paratha Apple Avacado Banana Biriyani Bitter Melon Brinjal Cabbage Calabash Capsicum Cauliflower Chapati Cherry Chole Cucumber Dal Dal Makhani Dosa Dragon Fruit Egg Garlic Ginger Green Chilly Guava Gulab Jamun Idly Khichdi Kiwi Lady Finger Mango Omlette Onion Orange Paapad Peach Pear Pineapple Plain Rice Poha Poori Potato Rajma Rasgulla Sambhar Sponge Guard Strawberry Sugar Apple Tomato Uttapam Vada Watermelon bread roti tawar