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Sapiens Pretrain 1b

Developed by facebook
Sapiens is a vision Transformer model pretrained on 300 million high-resolution human images, focusing on human-centric vision tasks.
Downloads 48
Release Time : 9/10/2024

Model Overview

Sapiens-1B is a 1-billion-parameter vision Transformer model, pretrained on a large-scale human image dataset, supporting 1K high-resolution inference and demonstrating exceptional generalization capabilities even with scarce labeled data or fully synthetic conditions.

Model Features

High-resolution processing
Native support for 1024×1024 resolution image input, preserving rich visual details
Data efficiency
Maintains strong performance even with scarce labeled data or fully synthetic data
Large-scale pretraining
Pretrained on 300 million human images, learning rich human feature representations
Real-world generalization
After fine-tuning for human-centric vision tasks, effectively generalizes to real-world scenarios

Model Capabilities

Human image feature extraction
High-resolution image processing
Visual representation learning
Transfer learning foundation model

Use Cases

Computer vision
Human pose analysis
Extracts human pose features from high-resolution images
Virtual avatar generation
Serves as the foundation model for the Codec Avatar project, supporting high-fidelity virtual avatar generation
Medical imaging
Medical image analysis
Assists in human feature extraction and analysis from medical images
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