@AdinaYakup: Powered by the new LingBot Vision https://huggingface.co/collections/robbyant/lingbot-vision… - Apache 2.0 - 4 versions…

X AI KOLs Following Models

Summary

LingBot Vision is a new visual foundation model released under Apache 2.0, available in four sizes (small, base, large, giant) and pretrained with masked boundary modeling. It powers a depth estimation system that tops multiple benchmarks.

Powered by the new LingBot Vision https://huggingface.co/collections/robbyant/lingbot-vision… - Apache 2.0 - 4 versions: small/base/large/giant - Pretrained with masked boundary modeling
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Powered by the new LingBot Vision https://huggingface.co/collections/robbyant/lingbot-vision… - Apache 2.0 - 4 versions: small/base/large/giant - Pretrained with masked boundary modeling


LingBot-Vision - a robbyant Collection

Source: https://huggingface.co/collections/robbyant/lingbot-vision updatedabout 7 hours ago

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Robbyant (@robbyant_brain): 🪞 Glass. Mirrors. Transparent objects. — The nightmare of every depth camera. We just solved it! Introducing LingBot-Depth 2.0: 150M-scale training, half the depth error, 12/16 benchmarks topped. Powered by LingBot-Vision — the visual foundation model behind Depth’s

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Meta ships DINOv3 behind an access gate under its own license. Ant's Robbyant just shipped a full vision backbone family under Apache-2.0. What happens when perception goes free and small?

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Robbyant, an embodied AI company under Ant Group, released LingBot-Vision, a self-supervised vision backbone family ranging from 21M to 1.1B parameters, under Apache-2.0. It matches or beats DINOv3 on several depth and segmentation benchmarks despite using less than one third of the training data, highlighting a push for open perception models.