Large-scale image description dataset, providing more than 16M synthetic image descriptions.
PixelProse is a large-scale dataset created by tomg-group-umd that leverages the advanced visual-language model Gemini 1.0 Pro Vision to generate more than 16 million detailed image descriptions. This dataset is of great significance for developing and improving image-to-text conversion technology, which can be used for image description generation, visual question answering and other tasks.
The target audience is researchers and developers in the fields of machine learning and artificial intelligence, particularly those focusing on image recognition, image description generation, and visual question answering systems. The size and diversity of this dataset make it an ideal resource for training and testing these systems.
The researchers used the PixelProse dataset to train an image description generation model to automatically generate descriptions for images on social media.
Developers used the data set to develop a visual question and answer application that can answer users' questions about the content of images.
Educational institutions use PixelProse as a teaching resource to help students understand the basic principles of image recognition and natural language processing.
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