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Segformer B0 Flair One
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Segformer B0 Flair One

Developed by alanoix
SegFormer is an efficient semantic segmentation model based on Transformer, with the b0 version being its lightweight implementation.
Image Segmentation
Transformers
Open Source License:Apache-2.0#Aerial image segmentation#Lightweight Transformer#Imagenet pretrained
Downloads 14
Release Time : 3/26/2023

Model Overview

This model is the b0 size version of the SegFormer architecture, containing only the pretrained encoder part, suitable for image segmentation tasks. Fine-tuned on the Imagenet-1k dataset, it is particularly suitable for processing aerial images.

Model Features

Efficient Transformer Architecture
Adopts SegFormer's Transformer architecture, achieving computational efficiency while maintaining high performance
Lightweight Design
The b0 size version is especially suitable for resource-constrained environments
Aerial Image Optimization
The model is particularly suitable for segmentation tasks of aerial images

Model Capabilities

Semantic segmentation
Image analysis
Aerial image processing

Use Cases

Geographic Information System
Aerial Image Feature Classification
Automatic recognition and segmentation of features such as buildings and roads in aerial images
Average IoU reaches 59.9
Urban Planning
Urban Land Use Analysis
Automatic identification of different types of land use in urban areas
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