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VQA and Image Chunking for MLLMs (GPT-4V and Gemini)
- joanfihu 3y agoHandling large images with resolutions higher than 2048x2048 remains a challenge for MLLMs. Image chunking splits large images into multiple smaller images. Then the model processes each image and uses information from all of them to answer a question. I managed to get it to work with a 3840px X 20294px web page screenshot. It also works with documents that have figures (tables, charts, illustrations, etc).