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Food Waste Detection Computer Vision Project
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
Cite This Project
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 = { 2022 },
month = { oct },
note = { visited on 2024-03-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Food Waste Detection project in your project.
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