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NUS-WIDE dataset
The NUS-WIDE dataset is a large-scale image-text dataset, which is suitable for feature-partitioned collaborative learning. The dataset contains 100,000 images with 1000 text... -
Conceptual Captions
The dataset used in the paper "Scaling Laws of Synthetic Images for Model Training". The dataset is used for supervised image classification and zero-shot classification tasks. -
Visual Genome
The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.