Terms and Conditions

Kyoto University Dataset(s) Release Agreement

1st October 2014
updated on 27th November 2020
Introduction

Introduction
The goal of the Kyoto University Smart Kitchen (KUSK) dataset(s) is to develop new techniques, technology, and algorithms for cooking image processing such as Human Activity Recognition, Ingredient Recognition, and Food Tracking. Kyoto University has copyright on the data and is the principal distributor of the KUSK dataset(s). The dataset is meant to aid research efforts in the general area of developing, testing and evaluating algorithms for cooking image processing.
Release of the dataset
To advance the state-of-the-art in various cooking image processing technology, this dataset is distributed to the researcher community. All further uses of the dataset will be considered on the case- by-case bases. To obtain the right to access the full dataset, the requestor must sign this document and agree to observe the restrictions listed below.
Consent: The researcher(s) agrees to the following restrictions on the KUSK dataset(s):

  1. Redistribution
    Without prior written approval from Kyoto University, the KUSK dataset(s), in whole or in part, will not be further distributed, published, copied or disseminated in any way or form whatsoever, whether for profit or not. This includes further distributing, copying or disseminating to a different facility or organizational unit in the requesting university, organization, or company.
  2. Modification and Commercial Use
    Without prior approval from Kyoto University, the KUSK dataset(s), in whole or in part, may not be changed or used for commercial purposes.
  3. Requests for the KUSK dataset
    All requests for the KUSK dataset(s) will be forwarded to Kyoto University Principal Investigator(s).
  4. Publication Requirements
    In no case should the still frames are used in any way that could cause the original subject embarrassment or mental anguish. Data of human subjects is provided in coded form (without personal identifying information). Subject consent permits publication (paper or web-based) of the data (including image data) for scientific purposes only.
  5. Citation/Reference
    All documents and papers that report on research that uses the KUSK dataset(s) will acknowledge the use of the dataset by including an appropriate citation to the following.

    • KUSK Food: A. Hashimoto et al, “Recognizing ingredients at cutting process by integrating multimodal features,” ACM Multimedia 2012 workshop on Multimedia for Cooking and Eating Activities
    • KUSK 2013IJ: A. Hashimoto et al, “How Does User’s Access to Object Make HCI Smooth in Recipe Guidance?” 6th International Conf. on Cross-Cultural Design, Held as Part of HCI International 2014
    • KUSK 2014RC: A. Hashimoto et al, “KUSK Dataset: Toward a Direct Understanding of Recipe Text and Human Cooking Activity,” Workshop on Smart Technology for Cooking and Eating Activities,” 2014
  6. Publications to Kyoto University
    A copy of all reports and papers that are for public or general release that use the KUSK dataset(s) are appreciated to forward upon release or publication to Kyoto University Principal Investigator(s).
  7. No Warranty
    THE PROVIDER OF THE DATA MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED.
    THERE ARE NO EXPRESSED OR IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE, OR THAT THE USE OF THE MATERIAL WILL NOT INFRINGE ANY PATENT, COPYRIGHT, TRADEMARK, OR OTHER PROPRIETARY RIGHTS.

KUSK dataset(s) Principal Investigator(s) Large-Scale Text Archive Laboratory Academic Center for Computing and Media Studies, Kyoto University. Yoshida Nihonmatsu-cho, Sakyo-ku, Kyoto, 606-8501, JAPAN