A large-scale solar dynamics observatory image dataset for computer vision applications

被引:0
|
作者
Ahmet Kucuk
Juan M. Banda
Rafal A. Angryk
机构
[1] Georgia State University Atlanta 30302-3987,Department of Computer Science
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
The National Aeronautics Space Agency (NASA) Solar Dynamics Observatory (SDO) mission has given us unprecedented insight into the Sun’s activity. By capturing approximately 70,000 images a day, this mission has created one of the richest and biggest repositories of solar image data available to mankind. With such massive amounts of information, researchers have been able to produce great advances in detecting solar events. In this resource, we compile SDO solar data into a single repository in order to provide the computer vision community with a standardized and curated large-scale dataset of several hundred thousand solar events found on high resolution solar images. This publicly available resource, along with the generation source code, will accelerate computer vision research on NASA’s solar image data by reducing the amount of time spent performing data acquisition and curation from the multiple sources we have compiled. By improving the quality of the data with thorough curation, we anticipate a wider adoption and interest from the computer vision to the solar physics community.
引用
收藏
相关论文
共 50 条
  • [21] A Robust Large-scale Dataset for Assessing Light Field Image Quality
    Ma, Jian
    Liu, Zhuochi
    Xu, Yaozong
    Yu, Jiajun
    Wang, Yang
    Liu, Yuhao
    2024 9TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, ICSIP, 2024, : 752 - 756
  • [22] STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset
    Yoshikawa, Yuya
    Shigeto, Yutaro
    Takeuchi, Akikazu
    PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 2, 2017, : 417 - 421
  • [23] MANNET: A LARGE-SCALE MANIPULATED IMAGE DETECTION DATASET AND BASELINE EVALUATIONS
    Singh, Aditya
    Chhabra, Saheb
    Majumdar, Puspita
    Singh, Richa
    Vatsa, Mayank
    2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2022, : 1780 - 1784
  • [24] Electrical Thermal Image Semantic Segmentation: Large-Scale Dataset and Baseline
    Wang, Futian
    Guo, Yin
    Li, Chenglong
    Lu, Andong
    Ding, Zhongfeng
    Tang, Jin
    Luo, Bin
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [25] ON A LARGE-SCALE RADIO CHERENKOV OBSERVATORY
    Badescu, Alina-Mihaela
    Petrescu, Teodor
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE, 2011, 73 (03): : 191 - 194
  • [26] Deployment dynamics of large-scale flexible solar arrays
    Li, Haiquan
    Liu, Xiaofeng
    Guo, Shaojing
    Cai, Guoping
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART K-JOURNAL OF MULTI-BODY DYNAMICS, 2016, 230 (02) : 147 - 158
  • [27] Image2Weather: A Large-Scale Image Dataset for Weather Property Estimation
    Chu, Wei-Ta
    Zheng, Xiang-You
    Ding, Ding-Shiuan
    2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM), 2016, : 137 - 144
  • [28] Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
    Ypsilantis, Nikolaos-Antonios
    Chen, Kaifeng
    Cao, Bingyi
    Lipovsky, Mario
    Dogan-Schonberger, Pelin
    Makosa, Grzegorz
    Bluntschli, Boris
    Seyedhosseini, Mojtaba
    Chum, Ondrej
    Araujo, Andre
    2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2023), 2023, : 11256 - 11267
  • [29] DMDD: A Large-Scale Dataset for Dataset Mentions Detection
    Pan, Huitong
    Zhang, Qi
    Dragut, Eduard
    Caragea, Cornelia
    Latecki, Longin Jan
    TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 2023, 11 : 1132 - 1146
  • [30] Special Issue on Large-Scale Computer Vision: Geometry, Inference, and Learning
    Roberto Cipolla
    Carlo Colombo
    Alberto Del Bimbo
    International Journal of Computer Vision, 2014, 110 : 241 - 242