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IEEE/ICACT20210175 Slide.08        [Big Slide]	Oral Presentation
	Here we show some publicly available datasets that are widely used in our reviewed papers. Approach to collect FER-related data was mostly through the images captured in the laboratory, such as JAFFE and CK+, in which volunteers make corresponding expressions under particular instructions. However, since 2013, emotion recognition competitions have collected large-scale and unconstrained datasets, for example, FER2013 queried automatically by the Google image search API. This implicitly promotes the transition of FER from lab-controlled to real-world scenarios.

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