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]

Figure: Example images from the dataset ver 2.0 [source]

Figure: Object count of the dataset ver 2.0 [source]

Figure: State count of the dataset ver 2.0 [source]

Dataset version 1.0

Total number of images: 5978
Total number of classes: 7
Download: [download sample dataset]

dataset version 1.0
Figure: Class statistics of the dataset ver 1.0

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.

Ahmad Babaeian Jelodar
Department of CSE, University of South Florida, United States

Cooking State Recognition Challenge Papers

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%