Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Peekaboom: a game for locating objects in images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Computer
Proceedings of the international conference on Multimedia information retrieval
Developing metrics to characterize Flickr groups
Journal of the American Society for Information Science and Technology
Human computation: a survey and taxonomy of a growing field
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Content redundancy in YouTube and its application to video tagging
ACM Transactions on Information Systems (TOIS)
Improved video categorization from text metadata and user comments
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Minority voices of crowdsourcing: why we should pay attention to every member of the crowd
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work Companion
Leveraging user comments for aesthetic aware image search reranking
Proceedings of the 21st international conference on World Wide Web
The CUBRIK project: human-enhanced time-aware multimedia search
Proceedings of the 21st international conference companion on World Wide Web
Fashion coordinates recommender system using photographs from fashion magazines
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Parsing clothing in fashion photographs
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Hi, magic closet, tell me what to wear!
Proceedings of the 20th ACM international conference on Multimedia
A Draw-and-Guess Game to Segment Images
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Can social features help learning to rank youtube videos?
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Increasing cheat robustness of crowdsourcing tasks
Information Retrieval
Fashion 10000: an enriched social image dataset for fashion and clothing
Proceedings of the 5th ACM Multimedia Systems Conference
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In this work, we present a fashion-focused Creative Commons dataset, which is designed to contain a mix of general images as well as a large component of images that are focused on fashion (i.e., relevant to particular clothing items or fashion accessories). The dataset contains 4810 images and related metadata. Furthermore, a ground truth on image's tags is presented. Ground truth generation for large-scale datasets is a necessary but expensive task. Traditional expert based approaches have become an expensive and non-scalable solution. For this reason, we turn to crowdsourcing techniques in order to collect ground truth labels; in particular we make use of the commercial crowdsourcing platform, Amazon Mechanical Turk (AMT). Two different groups of annotators (i.e., trusted annotators known to the authors and crowdsourcing workers on AMT) participated in the ground truth creation. Annotation agreement between the two groups is analyzed. Applications of the dataset in different contexts are discussed. This dataset contributes to research areas such as crowdsourcing for multimedia, multimedia content analysis, and design of systems that can elicit fashion preferences from users.