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Segformer Tu Resnet18
A semantic segmentation model based on PyTorch, supporting multiple encoder architectures and suitable for image segmentation tasks.
Downloads 209
Release Time : 12/23/2024
Model Overview
Segformer is a semantic segmentation model implemented with PyTorch, supporting multiple pre - trained encoders and can be used for image segmentation tasks.
Model Features
Support for multiple encoders
Supports multiple pre - trained encoder architectures, such as ResNet.
Easy to use
Provides simple API interfaces for quick loading and use of pre - trained models.
High performance
Performs excellently on multiple image segmentation tasks.
Model Capabilities
Image segmentation
Semantic segmentation
Use Cases
Computer vision
Medical image segmentation
Used for segmenting organs or lesion areas in medical images.
Autonomous driving
Used for road scene understanding, such as lane line and pedestrian detection.
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