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Segformer Test V6
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Segformer Test V6

Developed by nielsr
A vision model for semantic segmentation of sidewalk scenes, capable of identifying and segmenting different elements in sidewalks.
Image Segmentation
Transformers
Open Source License:Apache-2.0#Sidewalk Semantic Segmentation#Urban Street Scene Parsing#High-Precision Image Segmentation
Downloads 14
Release Time : 4/9/2022

Model Overview

This model focuses on the semantic segmentation task of sidewalk scenes, accurately identifying and segmenting various objects and areas such as pavement, obstacles, pedestrians, etc. Suitable for applications like urban planning and intelligent transportation systems.

Model Features

High-Precision Segmentation
Accurately segments various elements in sidewalk scenes, including pavement and obstacles.
Strong Scene Adaptability
Suitable for various sidewalk scenes, including urban and rural environments.

Model Capabilities

Image Segmentation
Scene Understanding
Object Recognition

Use Cases

Urban Planning
Sidewalk Facility Assessment
Used to evaluate the integrity and safety of sidewalk facilities.
Can identify damaged pavement or obstacles, aiding in planning repairs.
Intelligent Transportation
Pedestrian Flow Analysis
Analyzes pedestrian distribution and flow on sidewalks.
Helps optimize traffic signals and pedestrian route planning.
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