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Sapiens Pretrain 1b Bfloat16
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Sapiens Pretrain 1b Bfloat16

Developed by facebook
Sapiens is a vision Transformer model pre-trained on 300 million 1024×1024 resolution human images, supporting high-resolution inference and real-world scenario generalization.
Image Classification English#High-resolution human images#Vision Transformer#1-billion parameter model
Downloads 23
Release Time : 9/10/2024

Model Overview

This model is a pre-trained vision Transformer designed for human-centric visual tasks, demonstrating exceptional generalization capabilities on real data even with scarce annotations or fully synthetic conditions.

Model Features

High-resolution support
Native support for 1024×1024 high-resolution image processing with 16×16 patch size
Large-scale pre-training
Pre-trained on 300 million human images with powerful feature extraction capabilities
Real-world generalization
Demonstrates exceptional generalization on real data even with scarce annotations or fully synthetic conditions
Efficient computation
Uses bfloat16 data format with 4.647 trillion floating-point operations

Model Capabilities

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

Use Cases

Computer vision
Human pose estimation
Utilizing pre-trained features for human pose recognition
Maintains high accuracy even with limited annotated data
Virtual avatar generation
Used for generating realistic human virtual avatars
Enhances realism and detail in generated results
Medical imaging
Medical image analysis
Applied to feature extraction from X-ray, MRI, and other medical images
Provides valuable feature representations even with limited data
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