@ZhidingYu: We just adopted a super cool new space template for LocateAnything, made by @_akhaliq the great. Thank you AK! Try it o…

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Summary

NVIDIA's LocateAnything, a vision-language detection model rethinking bounding box prediction, is now available as a Hugging Face Space and trending #1 on the platform. The space template was created by @_akhaliq.

We just adopted a super cool new space template for LocateAnything, made by @_akhaliq the great. Thank you AK! Try it out: https://huggingface.co/spaces/nvidia/LocateAnything… Credit to AK's space example: https://huggingface.co/spaces/akhaliq/LocateAnything…
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We just adopted a super cool new space template for LocateAnything, made by @_akhaliq the great. Thank you AK! Try it out: https://huggingface.co/spaces/nvidia/LocateAnything… Credit to AK’s space example: https://huggingface.co/spaces/akhaliq/LocateAnything…


LocateAnything - a Hugging Face Space by nvidia

Source: https://huggingface.co/spaces/nvidia/LocateAnything Fetching metadata from the HF Docker repository...

NVIDIA AI (@NVIDIAAI): This #CVPR2026 paper from our research team is trending #1 on @HuggingFace 🤗

Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to

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@VincentLogic: NVIDIA's newly open-sourced LocateAnything model is really impressive. The previous visual grounding models generated coordinates digit by digit (like squeezing toothpaste), slow and unstable. This new model uses "parallel bounding box decoding" to predict complete coordinates in one step, much faster and more accurate...

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NVIDIA has open-sourced the LocateAnything model, using parallel bounding box decoding technology to predict complete coordinates in one step, fast and accurate. The model has only 3B parameters and can run on consumer-grade GPUs, supporting video object localization, UI recognition, OCR, and other tasks.