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Simple Shapes Dataset

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/8112837
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This dataset is used in the paper Semi-supervised Multimodal Representation Learning through a Global Workspace, Devillers et al., 2023 (under review). To use this dataset, use the code provided here: https://github.com/bdvllrs/bimGW. It consists of 32x32 pixel images of shapes with multiple attributes (size, location, rotation, color). Each image is also paired with its ground truth information (attributes), and a natural language description (English) of the image. The dataset is composed of: a train set of 500,000 samples, a val and a test set of 1000 samples each. It also contains already processed 12-dimensional visual features (from a VAE), and presaved BERT features of the text descriptions.
创建时间:
2023-07-05
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