Dataset Card for GQA 35k The GQA (Visual Reasoning in the Real World) dataset is a large scale visual question answering dataset that includes scene graph annotations for each image. This is a FiftyOne dataset with 35000 samples. Note: This is a 35,000 sample subset which does not contain questions, only the scene graph annotations as detection level attributes. You can find the recipe notebook for creating the dataset here Installation If you haven't already, install FiftyOne: Usage Dataset Details Dataset Description Scene Graph Annotations Each of the 113K images in GQA is associated with a detailed scene graph describing the objects, attributes and relations present. The scene graphs are based on a cleaner version of the Visual Genome scene graphs. For each image, the scene graph is provided as a dictionary (sceneGraph) containing: Image metadata like width, height, location, weather A dictionary (objects) mapping each object ID to its name, bounding box coordinates, attributes, and relations[6] Relations are represented as triples specifying the predicate (e.g. "holding", "on", "left of") and the target object ID[6] Curated by: Drew Hudson & Christopher Manning Shared by: Harp…
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