Build a Generative AI-based Automated Image Captioning and Visual QnA Engine | kandi Tutorial
7๐๐ป๐๐๐ฎ๐น๐น ๐๐ตe ๐ญ-๐ฐ๐น๐ถ๐ฐ๐ธ ๐ธ๐ฎ๐ป๐ฑ๐ถ ๐๐ผ๐น๐๐๐ถ๐ผ๐ป ๐ธ๐ถ๐ ๐ผ๐ป Image Captioning Engine ๐ต๐ฒ๐ฟ๐ฒ - https://kandi.openweaver.com/collections/artificial-intelligence/build-a-generative-ai-based-automated-image-captioning-and-visual-qna-engine?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs
This will install a sandbox Image Captioning application and all the prerequisites needed for the tutorial.
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Image Captioning and Visual Question and Answering involves the usage of Large Multimodal Models (LMMs). Multimodal Learning seeks to allow computers to represent real-world objects and concepts using multiple data streams. We make use of one such model - Saleforce's BLIP (Bootstrapping Language-Image Pre-training)
The entire solution is available as a package to download from the source code repository.
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