March 27, 2024, 4:46 a.m. | Yonghao Xu, Amanda Berg, Leif Haglund

cs.CV updates on

arXiv:2403.17884v1 Announce Type: new
Abstract: Utilizing satellite imagery for wildfire detection presents substantial potential for practical applications. To advance the development of machine learning algorithms in this domain, our study introduces the \textit{Sen2Fire} dataset--a challenging satellite remote sensing dataset tailored for wildfire detection. This dataset is curated from Sentinel-2 multi-spectral data and Sentinel-5P aerosol product, comprising a total of 2466 image patches. Each patch has a size of 512$\times$512 pixels with 13 bands. Given the distinctive sensitivities of various wavebands …

arxiv benchmark data dataset detection sentinel type wildfire

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Data Analyst, Client Insights and Analytics - New Graduate, Full Time

@ Scotiabank | Toronto, ON, CA

Consultant Senior Data Scientist (H/F)

@ Publicis Groupe | Paris, France

Data Analyst H/F - CDI

@ Octapharma | Lingolsheim, FR

Lead AI Engineer

@ Ford Motor Company | United States

Senior Staff Machine Learning Engineer

@ Warner Bros. Discovery | CA San Francisco 153 Kearny Street