Meta Perception Encoder

What it does

A vision encoder setting new standards in image & video tasks. It excels in zero-shot classification & retrieval, surpassing existing models.

Meta FAIR is releasing several new research artifacts that advance our understanding of perception and support our goal of achieving advanced machine...

As we work toward achieving our goal of advanced machine intelligence (AMI), it’s important to have models, benchmarks, and datasets that focus on perception. We need machines that are able to acquire, process, and interpret sensory information about the world around us and are able to use this information to make decisions with human-like intelligence and speed. Today, we’re excited to publicly release five new works from our Meta Fundamental AI Research (FAIR) team that bring us closer to that goal. We’re excited to introduce Perception Encoder, a large-scale vision encoder that excels across several vision tasks for images and video. Vision encoders act as the “eyes” that enable AI…from ai.meta.com

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  I work on real-time voice/video AI at Tavus and for the past few years, I’ve mostly focused on how machines respond in a conversation. One thing that’s always bothered me is that almost all conversational systems still reduce everything to transcripts, and throw away a ton of signals that need to be used downstream. Some existing emotion understanding models try to analyze and classify into small sets of arbitrary boxes, but they either aren’t fast / rich enough to do this with conviction in real-time. So I built a multimodal perception system which gives us a way to encode visual…

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  Ideogram 4.0 – open-weight 9.3B text-to-image modelJun 2026 · github.com · ▲46

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