Sapiens Seg 0.3b
Sapiens is a family of Vision Transformer models pre-trained on 300 million 1024×1024 resolution human images, focusing on human-centric vision tasks.
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Release Time : 9/10/2024
Model Overview
This model is used for 28-class body part segmentation of human images, supports 1K high-resolution inference, and demonstrates exceptional generalization capabilities on real-world data.
Model Features
High-resolution support
Natively supports 1K high-resolution inference, suitable for high-precision image segmentation tasks.
Exceptional generalization capability
Demonstrates outstanding generalization on real-world data even with scarce or entirely synthetic labeled data.
Large-scale pre-training
Pre-trained on 300 million 1024×1024 resolution human images, equipped with powerful feature extraction capabilities.
Model Capabilities
Human image segmentation
High-resolution image processing
Multi-class body part recognition
Use Cases
Medical imaging
Human anatomical structure analysis
Used for body part segmentation in medical imaging to assist doctors in anatomical structure analysis.
Accurately identifies 28 classes of body parts
Virtual reality
Virtual avatar creation
Used to create high-precision virtual human models, supporting VR/AR application development.
Provides detailed body part segmentation
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