Food Waste Detection Computer Vision Project
KKH
Updated 2 days ago
0
views0
downloadsTags
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
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
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-ziq5h_dataset,
title = { Food Waste Detection Dataset },
type = { Open Source Dataset },
author = { KKH },
howpublished = { \url{ https://universe.roboflow.com/kkh/food-waste-detection-jghxg-ziq5h } },
url = { https://universe.roboflow.com/kkh/food-waste-detection-jghxg-ziq5h },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { nov },
note = { visited on 2024-11-26 },
}