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Sam.vit H
An image segmentation model based on the SAM-ViT-Huge architecture, capable of precisely segmenting any object in an image
Downloads 143
Release Time : 10/8/2024
Model Overview
This is an image segmentation model based on the Vision Transformer architecture, capable of identifying and segmenting various objects in images. It utilizes adapter technology to optimize the base model, making it suitable for a wide range of image segmentation tasks.
Model Features
High-precision Segmentation
Capable of precisely segmenting various objects in images, including targets in complex backgrounds
Adapter Technology
Uses adapter technology to enhance base model performance and improve segmentation results
Strong Generalization
Suitable for image segmentation tasks across multiple scenarios and objects
Model Capabilities
Image Segmentation
Feature Extraction
Object Recognition
Use Cases
Computer Vision
Medical Image Analysis
Used for segmenting organs or lesion areas in medical images
Improves diagnostic accuracy and efficiency
Autonomous Driving
Object recognition and segmentation in road scenes
Enhances environmental perception capabilities
Industrial Inspection
Product defect detection and localization
Improves automation levels in quality inspection
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