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Pose-Sapiens-0.6B

Model Details

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-0.6B 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.

  • Developed by: Meta
  • Model type: Vision Transformer
  • License: Creative Commons Attribution-NonCommercial 4.0
  • Task: pose
  • Format: original
  • File: sapiens_0.6b_goliath_best_goliath_AP_609.pth

Model Card

  • Image Size: 1024 x 768 (H x W)
  • Num Parameters: 0.664 B
  • FLOPs: 2.583 TFLOPs
  • Patch Size: 16 x 16
  • Embedding Dimensions: 1280
  • Num Layers: 32
  • Num Heads: 16
  • Feedforward Channels: 5120

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Uses

Pose 0.6B model can be used for estimate 308 keypoints (body + face + hands + feet) on a single image.

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Inference API (serverless) does not yet support sapiens models for this pipeline type.

Collection including facebook/sapiens-pose-0.6b