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Linknet Tu Resnet18
Linknet is a PyTorch-implemented image segmentation model suitable for semantic segmentation tasks.
Downloads 214
Release Time : 12/23/2024
Model Overview
Linknet is an efficient encoder-decoder architecture specifically designed for semantic segmentation tasks. It achieves fast inference through a simplified decoding path while maintaining good segmentation accuracy.
Model Features
Efficient Architecture
Utilizes a simplified decoding path design for fast inference speed
Pre-trained Encoder
Supports multiple encoders pre-trained on ImageNet
Modular Design
Easy to integrate and extend with other model components
Model Capabilities
Image Segmentation
Semantic Segmentation
Medical Image Analysis
Satellite Image Analysis
Use Cases
Medical Imaging
Organ Segmentation
Used for organ identification and segmentation in CT or MRI scans
Remote Sensing
Land Use Classification
Identifies different land types from satellite images
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