PLATFORM OVERVIEW / AI / AI VISION
Cloudinary
AI Vision (Beta)
A specialized AI feature that automates media management, enabling precise, scalable, brand-specific content workflows.
PLATFORM OVERVIEW / AI / AI VISION
A specialized AI feature that automates media management, enabling precise, scalable, brand-specific content workflows.
We’ve added the power of GenAI to the Modern DAM. Use simple, image-related queries to find, classify, and moderate images, no matter how vast your asset library may be. Media management and moderation is now on your terms. Literally.
AI Vision enhances media management by leveraging Gen AI. It utilizes a generative multimodal LLM to interpret and respond to visual content queries and prompts, driving automation of key processes, including content moderation, image classification, and custom tagging. AI Vision helps businesses streamline moderation operations, and improve classification capabilities at scale.
By combining a generative multimodal LLM and our own expertise in image AI, AI Vision interprets and responds to visual content queries and prompts, to automate content moderation, image classification, and custom tagging. AI Vision does what Standard LLM’s can’t.
Receive detailed, context-aware answers to questions about your images. AI Vision utilizes generative LLMs to identify objects, scenes, and interpret in-image text so your media assets are more searchable and better organized. Advanced usage is possible through custom workflows with nuanced prompting, such as identifying and scoring the most relevant images for a product page based on content or scenery.
Can you describe the setting of this image?
How many people are in this image?
AI Vision provides straightforward Yes/No/Unknown responses for quick, accurate brand compliance checks and flag potentially sensitive content. An automated workflow moderates content on the fly while maintaining standards across all platforms without manual effort.
Does the image feature a celebrity or a public figure?
Is there anything in the image that could be considered violent or disturbing?
Is the image cropped in a way that facial features such as eyes, nose, or mouth are not visible?
Classify images based on their unique taxonomy without needing to train or fine-tune tagging models. By providing a set of tags with specific descriptions, businesses can categorize images according to their branding and organizational needs. Quickly and accurately tag images based on detailed criteria like background color and subject orientation. Demographics can be built into an automated workflow that can analyze images at scale.
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