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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark

March 8, 2023

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Authors

Quanzeng You

University of Rochester


Jiebo Luo

University of Rochester


Hailin Jin

Adobe Research


Jianchao Yang

Snapchat Inc


DOI:

10.1609/aaai.v30i1.9987


Abstract:

Psychological research results have confirmed that people can have different emotional reactions to different visual stimuli. Several papers have been published on the problem of visual emotion analysis. In particular, attempts have been made to analyze and predict people's emotional reaction towards images. To this end, different kinds of hand-tuned features are proposed. The results reported on several carefully selected and labeled small image data sets have confirmed the promise of such features. While the recent successes of many computer vision related tasks are due to the adoption of Convolutional Neural Networks (CNNs), visual emotion analysis has not achieved the same level of success. This may be primarily due to the unavailability of confidently labeled and relatively large image data sets for visual emotion analysis. In this work, we introduce a new data set, which started from 3+ million weakly labeled images of different emotions and ended up 30 times as large as the current largest publicly available visual emotion data set. We hope that this data set encourages further research on visual emotion analysis. We also perform extensive benchmarking analyses on this large data set using the state of the art methods including CNNs.

Topics: AAAI

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HOW TO CITE:

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark AAAI 2016, .

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang (2016). Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang. Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang. 2016. Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang. (2016) "Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang, "Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark", AAAI, p., 2016.

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang. "Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang. "Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Quanzeng You|| Jiebo Luo|| Hailin Jin|| Jianchao Yang. Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark. AAAI[Internet]. 2016[cited 2023]; .


ISSN: 2374-3468


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