ClearSKY Launches New No-Snow Deep Learning Model

ClearSKY Vision has introduced a new deep learning model, similar in architecture to Stratus-2, but specifically trained to ignore snow cover. This minor innovation is designed for users who require uninterrupted data without the seasonal challenges posed by snow cover. It's especially useful for customers who do not wish to detect snow cover in their applications for areas with intermittent snow cover.

A Tailored Approach for Snow-Free Applications

While not necessary for all applications, this model is particularly useful for industries that depend on consistent ground observations, such as forestry, agriculture, and infrastructure monitoring. By eliminating snow interference, our No-Snow model ensures greater data reliability.