World's smallest vision-language model, optimized for edge AI devices.

Screenshot of OmniVision

About OmniVision

OmniVision-968M is a compact, sub-billion parameter multimodal AI model capable of processing both visual and text inputs with exceptional efficiency. Designed for edge deployment, it reduces image tokens by 9x and employs Direct Preference Optimization for enhanced accuracy and minimal hallucinations. OmniVision enables on-device image and text understanding, making it ideal for applications such as scene comprehension, document analysis, and content generation.

Agentic

Developer
Nexa AI
Added
52 days ago

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371
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24
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8
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AI Agent Categories

Computer Vision

AI agents that specialize in processing and interpreting visual data from the world. These agents can perform image recognition, object detection, facial recognition, video analysis, and other tasks that involve analyzing and understanding visual content.

Multimodal AI

AI agents that integrate and process multiple types of data, such as text, images, audio, and video, to enable richer and more accurate interactions. These agents can perform tasks like image captioning, video analysis, and cross-modal search, offering versatile solutions for complex, real-world applications.

Edge AI

AI agents designed to operate at the edge of networks, where data is processed locally on devices rather than in the cloud. These agents enable real-time decision-making, reduce latency, and enhance privacy by processing data directly on devices such as IoT sensors, smartphones, and embedded systems.

Research Assistants

AI agents designed to support research activities by gathering relevant information, analyzing data, summarizing findings, and even generating hypotheses. These agents assist in academic research, market analysis, scientific studies, and more, helping researchers to save time and focus on critical aspects of their work.

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