rawalkhirodkar
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Update model card for Sapiens with architecture details
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README.md
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@@ -15,7 +15,7 @@ Sapiens is a family of vision transformers pretrained on 300 million human image
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Sapiens-0.3b natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion. Sapiens consistently surpasses existing baselines across various human-centric benchmarks.
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- **Developed by:** Meta
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- **Model type:** Vision
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- **License:** Creative Commons Attribution-NonCommercial 4.0
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- **Model Size:** 0.3b
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- **Task:** pretrain
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## Uses
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Pretrained 0.3b model can be used for feature extraction, fine-tuning, or as a starting point for training new models.
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Sapiens-0.3b natively support 1K high-resolution inference and are extremely easy to adapt for individual tasks by simply fine-tuning models pretrained on over 300 million in-the-wild human images. The resulting models exhibit remarkable generalization to in-the-wild data, even when labeled data is scarce or entirely synthetic. Our simple model design also brings scalability - model performance across tasks improves as we scale the parameters from 0.3 to 2 billion. Sapiens consistently surpasses existing baselines across various human-centric benchmarks.
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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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- **Model Size:** 0.3b
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- **Task:** pretrain
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## Uses
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Pretrained 0.3b model can be used for feature extraction, fine-tuning, or as a starting point for training new models.
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