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. Pose 1B model can be used for estimate 308 keypoints (body + face + hands + feet) on a single image.

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sapiens-pose-bbox-detector

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sapiens-pretrain-0.3b

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sapiens-pretrain-0.3b-bfloat16

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sapiens-pretrain-0.3b-torchscript

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sapiens-pretrain-0.6b

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sapiens-pretrain-0.6b-bfloat16

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sapiens-pretrain-0.6b-torchscript

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sapiens-pretrain-1b

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sapiens-pretrain-1b-bfloat16

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Image segmentation

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sapiens-seg-0.6b

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sapiens-seg-0.6b-bfloat16

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COST EXPLORER

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

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Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

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Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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Explore AI models 84997

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