Food Waste Detection Computer Vision Project
Food
Updated a year ago
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downloadsMaintainer
Tags
Classes (39)
Apple
Apple-core
Apple-peel
Banana Bone Bone-fish
Bread Bun
Chicken-skin
Congee
Cucumber Drink Egg-hard
Egg-scramble
Egg-shell
Egg-steam
Egg-yolk
Fish Meat Mushroom Mussel
Mussel-shell
Noodle Orange Orange-peel
Other-waste
Pancake
Pasta Pear Pear-core
Pear-peel
Potato Rice Shrimp Shrimp-shell
Tofu
Tomato Vegetable Vegetable-root
Description
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
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 2025-07-10 },
}