The SOTA model for street view classification

This is a project for city building sence classification. This tool is created for the multilabel building classification at a published paper:

Zhang, J., Fukuda, T., & Yabuki, N. (2021). Development of a City-Scale Approach for Façade Color Measurement with Building Functional Classification Using Deep Learning and Street View Images. ISPRS International Journal of Geo-Information, 10(8), 551; https://doi.org/10.3390/ijgi10080551.

Workflow of urban facade measurement using street view images

Useage

install PyTorch 1.5+ and torchvision 0.6+:

conda install -c pytorch pytorch torchvision

install prefetch_generator

pip install prefetch_generator

install imgaug

pip install git+https://github.com/aleju/imgaug

Pre-Model

using efficientnet_b2 with multi-label https://drive.google.com/drive/folders/1Q-cbezLxOx8DcsPG1EnEXiAdYeMDxoHy?usp=sharing