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Machine Learning

Machine Learning

The 3rd Tellus Satellite Challenge! ~ Check out the Winners’ Models ~

The third Tellus Satellite Challenge was held with a mission to "detect the extent of sea ice." In this article, we explain the challenge and introduce the approaches of the winning teams.

Machine Learning

Classify satellite images according to cloud density

AI (Artificial Intelligence) has now become pretty common in much of the business world. In the satellite data field, applications of AI such as machine learning and deep learning are capturing more and more attention every year.

Machine Learning

[Kaggle Competition Commentary Series] Identification of Sea Ice and Ships on Satellite Images

This article explains the analytical approaches that the top three winners took at the data science competition, Kaggle, to identify sea ice and ships from satellite images.

Machine Learning

Data Science competition of Sea ice detection : its purpose points on images

On October 4th, 2019, the "3rd Tellus Satellite Challenge", a satellite data analysis competition, began at SIGNATE. The theme of this contest is "detection of the sea-ice area." This article will explain the purpose and points to be considered on images.

Machine Learning

Vessel Detection— Introduction of the analytical approaches used by the winners of the 2nd satellite data analysis contest

We are going to introduce the analytical approaches used by the top three winners in the “Tellus Satellite Challenge”, a vessel detection algorithm competition using satellite data.

Machine Learning

The First Satellite Data Analysis Contest Report -The answers and what to look forward in the 2nd Challenge

We are glad to share the feedback on the 1st Tellus Satellite Challenge, the satellite data analysis competition, from Shu Saito, CEO of SIGNATE Inc. operator of the contests.