semantic segmentation with deep learning
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i have a confused between pixel label and ground truth , are there similar when using for training SegNet code . if not how can i create the pixellabels , and are 50 images enough to create pixellabels
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Johanna Pingel
2019-2-6
0 个投票
- Check out a few links to learn more about pixel labeling and semantic segmentation:https://www.mathworks.com/videos/semantic-segmentation-overview-1510858047780.html?s_tid=srchtitle
- You're going to want the image labeler to do the labeling: https://www.mathworks.com/help/vision/ref/imagelabeler-app.html
- The number of images really depends on the complexity of the problem. I was able to do a quick semantic segmentation with only 100 images because the images were so simple: https://blogs.mathworks.com/deep-learning/2018/11/15/sudoku-solver-image-processing-and-deep-learning/
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2018-12-27
2019-2-6
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