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Sapiens is a family of vision transformers pretrained on 300 million human images at 1024 x 1024 image resolution. The pretrained models, when finetuned for human-centric vision tasks, generalize to in-the-wild conditions. Sapiens-1B natively support 1K high-resolution inference. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic.

Image segmentation
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sapiens2

facebook

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308-keypoint top-down pose estimation including detailed face (274 keypoints), hand, and foot keypoints. Predictions follow the Sociopticon keypoint format. This repository contains the **0.4B Pose Estimation** checkpoint, finetuned from the Sapiens2-0.4B pretrained backbone.

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308-keypoint top-down pose estimation including detailed face (274 keypoints), hand, and foot keypoints. Predictions follow the Sociopticon keypoint format. This repository contains the **1B Pose Estimation** checkpoint, finetuned from the Sapiens2-1B pretrained backbone.

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308-keypoint top-down pose estimation including detailed face (274 keypoints), hand, and foot keypoints. Predictions follow the Sociopticon keypoint format. This repository contains the **5B Pose Estimation** checkpoint, finetuned from the Sapiens2-5B pretrained backbone.

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Sapiens2 is a family of high-resolution vision transformers pretrained on **1 billion human images** — designed for human-centric tasks such as pose estimation, body-part segmentation, surface normals, and pointmaps. This repository contains the **0.4B parameter pretrained backbone**. It produces dense per-patch features suitable for fine-tuning downstream task heads. See the Sapiens2 Collection for all variants and downstream task checkpoints (pose, segmentation, normals, pointmaps).

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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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