RS2C - Remote Sensing Scene Clasification
Easy to use system for remote sensing scene classification
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RS2C is a RESTful web service and web application for remote sensing scene classification based on convolutional neural networks. Currently, ResNet-50 pre-trained on ImageNet and fine-tuned on MLRSNet is used for classification. The web service is implemented in Python using TensorFlow Serving and Flask. The RS2C API provides methods for single- and multi-label classification.
Resource organization
Resource providers
Bulevar vojvode Petra Bojovica 1A, 78000 Banja Luka, Bosnia and Herzegovina (BA)
Bulevar vojvode Petra Bojovica 1A, 78000 Banja Luka, Bosnia and Herzegovina (BA)
Website
Readiness
TRL8
Domain
Subdomain
Category
Subcategory
Target users
Access type
Access mode
Tags
Contact
Vladimir
Risojević,
Professor
email: vladimir.risojevic@etf.unibl.org
phone: +38751221820
