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/Understanding Hand-Drawn Images with Image-to-Text Processing
Understanding Hand-Drawn Images with Image-to-Text Processing
Learn how our pictionary bot understands hand-drawn images and evaluates them using the image-to-text models in Gemini. Also, understand how images can be sent as prompts to Google Gemini.
Behind the scenes
Multimodal models such as Gemini can work with images as input. This enables them to analyze an image and generate a textual description of its content. Here’s a brief overview of how most image captioning models work:
The image is first processed into a format that is easily digestible for the model.
A
analyzes the image, extracting features like edges, objects, and their spatial relationships. This creates a compressed representation of the image’s visual content.CNN encoder A Convolutional Neural Network (CNN) encoder specializes in processing images/videos. It acts like a data summarizer, transforming raw visuals into a compact representation that captures the essence of the content. The
...decoder Decoders are like translators. They take a condensed version of