Image Labeler: A Web Interface to Catalog Earth Science Events

Acharya, Ashish ; Freitag, Brian ; Gurung, Iksha ; Maskey, Manil ; Ramachandran, Rahul

关键词: ALGORITHMS;    CATALOGS (PUBLICATIONS);    DATA BASES;    EARTH SCIENCES;    EDUCATION;    IMAGE CLASSIFICATION;    MACHINE LEARNING;    MAINTAINABILITY;    METADATA;    SATELLITE IMAGERY;    WEB SERVICES;   

RP-ID  :  MSFC-E-DAA-TN72827

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

Advances in machine learning (ML) have made it possible to automatically detect Earth science phenomena from satellite imagery. While useful, ML algorithms typically require an extensive dataset containing labeled images for training. Systematic labeling and management of such datasets is quite cumbersome. With this in mind, we present the Image Labeler. Image Labeler is a fast and scalable cloud-based tool that facilitates the rapid development of Earth science event databases, in order to aid automated ML-based image classification.