Description

We collected the INTERACT dataset for the ECCV 2014 paper, "Zero-Shot Learning via Visual Abstraction." It contains 3,172 images that contain 2 people interacting. The interactions are at least one of 60 fine-grained categories with different verb and preposition combinations. Some interactions include: "laughing with," "pointing at," "tripping," "hitting," "arguing with," "crawling to," "lying with," "carrying," etc. Annotations collected are: poses, facial expressions, gaze directions, and genders.

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View INTERACT Dataset


In addition to the INTERACT dataset, we also collected 3,000 illustrations depicting the same 60 fine-grained categories as INTERACT. Identical annotations are also available for these illustrations.

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View Abstract-Category-Level-INTERACT Dataset


We also collected 8,917 illustrations where people tried to re-create the INTERACT real images. There are usually 2-3 illustrations for each real image. Since the users only had a 2 seconds to see the real image, the illustrations vary from the real images, particularly for the less salient/important details. Identical annotations are also available for these illustrations.

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Person 1 is laughing with Person 2.
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Person 1 is laughing with Person 2.
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Person 1 is laughing with Person 2.
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Person 1 is laughing with Person 2.
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Person 1 is arguing with Person 2.
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Person 1 is arguing with Person 2.
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Person 1 is arguing with Person 2.
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Person 1 is arguing with Person 2.

View Abstract-Instance-Level-INTERACT


Downloads

INTERACT Final Image Dataset: [Images] [Annotations] [README]

Abstract-Category-Level-INTERACT Illustration Dataset: [Images] [Annotations] [README]

Abstract-Instance-Level-INTERACT Illustration Dataset: [Images] [Annotations] [README]