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]

A collage of various raw and prepared food ingredients including chicken, eggs, vegetables, cheese, fruits, cooked dishes, and baking elements.
Bar chart showing the count of various objects in a dataset, with carrot having the highest count and mushroom the lowest.
Bar chart showing the count of different states in the dataset, with "sliced" having the highest count and "floured," "diced," and "peeled" having lower but similar counts.

Dataset version 1.0
Total number of images: 5978
Total number of classes: 7
Download: [download sample dataset]

Bar chart showing counts of food categories with Whole and Sliced having the highest counts around 1300, followed by Grated, Paste, Juice, Diced, and Julienne with the lowest around 470.

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

Cooking State Recognition Challenge Papers
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%