S

Sapiens Seg 0.6b Bfloat16

Developed by facebook
Sapiens is a family of Vision Transformer models pre-trained on 300 million 1024x1024 resolution human images, focusing on human-centric vision tasks.
Downloads 24
Release Time : 9/10/2024

Model Overview

This model is used for 28-class body part segmentation on human images, supports 1K high-resolution inference, and demonstrates excellent generalization in real-world scenarios.

Model Features

High-resolution support
Native support for 1K high-resolution inference, with image sizes up to 1024x768.
Strong generalization capability
Demonstrates excellent generalization on real data even with scarce or entirely synthetic labeled data.
Large-scale pre-training
Pre-trained on 300 million 1024x1024 resolution human images.

Model Capabilities

Human image segmentation
High-resolution image processing
Multi-class body part recognition

Use Cases

Medical imaging
Body part segmentation
Used for precise segmentation of human body parts in medical imaging.
Supports segmentation of 28 body parts
Virtual reality
Virtual avatar creation
Used to create high-precision virtual human avatars.
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