How to use Llama 3.2 Vision for OCR
Blog post from Roboflow
The Llama 3.2 Vision Block in Roboflow Workflow offers a versatile, no-code solution for enhancing computer vision pipelines with the multimodal capabilities of Meta’s Llama 3.2 model. It enables users to conduct various tasks such as optical character recognition (OCR), image captioning, and classification through configurable task types. Users can create workflows to extract text from images, generate structured data in formats like JSON, and perform visual question answering by setting appropriate task types like Text Recognition (OCR), Open Prompt, and Structured Output Generation. This functionality allows for rapid development of OCR applications, accommodating tasks such as reading barcode numbers and extracting information from documents without requiring extensive coding knowledge.
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