Fig. 3
From: Detection of Martian dust storms using mask regional convolutional neural networks
![Fig. 3](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs40645-021-00464-1/MediaObjects/40645_2021_464_Fig3_HTML.png)
1st strategy: the training and validation images are selected randomly from MY 25 to middle of MY 27. The testing images are selected randomly from middle of MY 27 to MY 28. a and c are ground-truth images from spring (\(s20\_23\)) and summer (\(s22\_22\)) seasons at \(L_{\mathrm{{S}}}=83.04^{\circ }\) and \(L_{\mathrm{{S}}}=110.25^{\circ }\), respectively. b and d are their predicted dust maps