Datasets
Cooking States
Cooking State Recognition Challenge Dataset
How were the data collected ?
Dataset images were collected from Google, using Vatic annotation tool and labelbox
tool.
Class of states : whole, peeled, floured, sliced, diced, grated, julienne, juice,
creamy, mixed, and other
How many dataset version we have so far ?
There are two versions of the datasets. Dataset version 1.0 and version 2.0
Dataset version 2.0
Total number of images: 9309
Number of images with object labels: 7629
Number of images with no clear object label: 1680
Number of object types: 18
Number of states: 11
Download: [download sample dataset]
Dataset version 1.0
Total number of images: 5978
Total number of classes: 7
Download: [download sample dataset]
How to get the datasets ?
To get the full datasets, you need to contact the following person with a full description
of why you need it.
Md. Sadman Sakib
Department of CSE, University of South Florida, United States
mdsadman@usf.edu
Results for Dataset version 1.0
| Name | Paper | Accuracy |
|---|---|---|
| Tianze Chen | Paper Link | 80% |
| Rahul Paul | Paper Link | 77% |
| Astha Sharma | Paper Link | 76% |
| Md Sirajus Salekin | Paper Link | 73.3% |