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Ability to input additional details about conditions to help improve algorithm

Feature RequestsMetrics & DataTerrain (Snow Surface & Pitch)

With additional imputs from skiers the machine learning could

benefit. E.g. skiers could provide information about snow conditions. Is the snow very wet and are there piles of snow on the slope. Was it foggy and so on. This situation are impacting the skiing.

This information could improve the learning of your machine.

Posted by CaptainFuture ·
Status: Under Consideration1 comment

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Comments1

  • Irina M

    •

    Apr 13

    I was doing that when there was a special case for snow conditions (I believe in 2023/24 and 2024/25 seasons). Unfortunately, it seems it was not possible to get Carv to recognize anything other then powder and moguls. - It still considers crud, bumpy piles of fresh snow, slush, ice/icy/wet patches, etc as “smooth”.

    Now I keep track of the snow conditions in Notes in the beginning of each session as it’s important if you want to understand why one day you have SkiIQ 20 points lower on the same run and with the same skis. ;-)