Devlog #15: training my own model wasn’t the move
yea so training my own model wasnt the best idea.
after hours of clicking through my webscraper’s image results and marking them, i ran a benchmark myself by putting on youtube videos of wildfires from a sky perspective. it saw the smoke in the distance and gave that as the fire, when the real fire was miles away. it also found the sun and clouds as a fire. so, false positives everywhere.
so today i basically tested and worked with existing solutions instead, like this one: https://github.com/AlimTleuliyev/wildfire-detection, plus other open source alternatives on kaggle.
but yea, overall today i felt retrogressed, and i’m thinking of going back to CV. This article also helped a lot https://www.mdpi.com/2571-6255/7/4/140.
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