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README.md
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language: en
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license: cc-by-nc-4.0
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# Seg-Foreground-Background-Sapiens-1B-Torchscript
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### Model Details
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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.
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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.
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- **Developed by:** Meta
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- **Model type:** Vision Transformer
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- **License:** Creative Commons Attribution-NonCommercial 4.0
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- **Task:** seg
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- **Format:** torchscript
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- **File:** sapiens_1b_seg_foreground_epoch_8_torchscript.pt2
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### Model Card
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- **Image Size:** 1024 x 768 (H x W)
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- **Num Parameters:** 1.169 B
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- **FLOPs:** 4.647 TFLOPs
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- **Patch Size:** 16 x 16
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- **Embedding Dimensions:** 1536
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- **Num Layers:** 40
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- **Num Heads:** 24
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- **Feedforward Channels:** 6144
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### More Sources
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- **Repository:** [https://github.com/facebookresearch/sapiens](https://github.com/facebookresearch/sapiens)
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- **Paper:** [https://arxiv.org/abs/2408.12569](https://arxiv.org/abs/2408.12569)
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- **Demo:** [Sapiens Gradio Spaces](https://huggingface.co/collections/facebook/sapiens-66d22047daa6402d565cb2fc)
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## Uses
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Seg-Foreground 1B model can be used to segment foreground humans from images.
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