uwyne

food_items

Object Detection

food_items 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_items-0mgej_dataset,
                            title = { food_items Dataset },
                            type = { Open Source Dataset },
                            author = { uwyne },
                            howpublished = { \url{ https://universe.roboflow.com/uwyne/food_items-0mgej } },
                            url = { https://universe.roboflow.com/uwyne/food_items-0mgej },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-02-26 },
                            }
                        

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Source

uwyne

Last Updated

7 months ago

Project Type

Object Detection

Subject

fooditems

Classes

Apple Burger Fish Bones Greenbeans Lemon Onion Orange Peel Pie Pitaya Radish Tomatoe almond apple asparagus avacado banana bread broccoli cabbage cake cantalope carrots chicken chickpeas cookie corn crossiant cucumber daal donut egg eggplant fig fish fish head fries grapes green onion ham hotdog icecream juice lettuce lime mangoe meat muffin mushroom olives omlete orange pasta peach peas pepper pineapple pizza pomegranate potatoe pumpkin rice salad squash strawberry tomatoes watermelon wings

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License

CC BY 4.0