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Food Waste Detection Computer Vision Project

Food

Updated 5 months ago

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Overview:

Food waste detection dataset.

Labelling instruction:

Label Every Object of Interest in Every Image
Label the Entirety of an Object
Label Occluded Objects, as if they were fully visible (It is a common misconception that boxes cannot overlap.)
Create Tight Bounding Boxes. The edges of bounding boxes should touch the outermost pixels of the object that is being labeled.
Create Specific Label Names (e.g. white pawn, black pawn, green apple, red apple). We can regroup them later into the same class within roboflow preprocessing step .
Maintain Clear Labeling Instructions

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Cite This Project

LICENSE

CC BY 4.0

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

                        @misc{
                            food-waste-detection-jghxg_dataset,
                            title = { Food Waste Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Food },
                            howpublished = { \url{ https://universe.roboflow.com/food-1b74y/food-waste-detection-jghxg } },
                            url = { https://universe.roboflow.com/food-1b74y/food-waste-detection-jghxg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-12-22 },
                            }