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niklasrde | 2 years ago
Anyway, from their tests using standard CNN practices: "Our best model achieved on the test set an F1 score of 0.97 (accuracy = 97.5%) for the classification task and a R2 score of 0.84 (RMSE = 21.9 m, or about 1 image pixel) for the length-estimation task."
mistrial9|2 years ago
secondly, there is no perfect way to measure accuracy of remote sensing for many reasons
addandsubtract|2 years ago