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Linknet Tu Resnet18

Developed by smp-test-models
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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