![]() ![]() ![]() Overall, s2cloudless has been downloaded over 47,000 times and is used in dozens of applications. Since the release of the s2cloudless Python package, we have received very positive feedback from many users, in particular regarding the overall accuracy, flexibility of use, and execution speed. This adds great value to the service, opening up fantastic opportunities for everyone to create amazing Earth Observation applications! Sentinel-2 Cloud Detector - s2cloudlessĪ little more than two years have passed since the release of our machine learning-based cloud detection algorithm for Sentinel-2 imagery, and it seems a perfect time to report feedback gathered so far, as well as to share very exciting news regarding its availability through Sentinel Hub. Due to the large interest, we announce the availability of pre-computed cloud masks for the entire Sentinel-2 archive via the Sentinel Hub service. ![]() It has been well received in the community over the last two years, becoming one of the state-of-the-art algorithms for cloud detection. S2cloudless is a machine learning algorithm for computing cloud masks on Sentinel-2 imagery. Beautiful clouds over Ljubljana, Slovenia. ![]()
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