Training the model #63
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Hey everyone, I was able to delineate all the individuals of a species in one 10x10 plot. I exported the dataset and trained the network. How do I continue training the network using a different plot? This way it can learn from 2 or more plots and not just 1 before applying the automatic classification. Apologies if this is an easy answer, couldn't find anything too clear on the manual Thanks, Nico |
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Replies: 5 comments 2 replies
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Hi nirivas, To train the network on two plots you have to do in the following way:
This is mandatory, if you train the network on the plot A, and then you train the network on the plot B, the network FORGET what has learned from the plot A. NOTE: You must use the same target scale factor. For example, plot A has a pixel size of 0.5mm and plot B of 0.7mm, a good choice for the target scale factor is 0.6 . Cheers |
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Do you guys (developers) have any plan to provide a TagLab training course any time soon? I'd be very interested in learning how to get the best out of the machine learning algorithm. I'd like to get a proper automated "segmentation" and "classification", because the current manual method that I'm using is far from sustainable/efficient. Cheers, Carol |
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Hi everyone, |
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Hi everyone, I trained a classifier, and the results tab displayed a confusion matrix along with the validation loss and training loss graphs. However, I accidentally closed the window. Is there a way to access the confusion matrix again? Is it stored somewhere? |
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Hi nirivas,
To train the network on two plots you have to do in the following way:
This is mandatory, if you train the network on the plot A, and then you train the network on the plot B, the network FORGET what has learned from the plot A.
NOTE: You must use the same target scale factor. For example, plot A has a pixel size of 0.5mm and plot B of 0.7mm, a good choice for the target scale factor is 0.6 .
Cheers