Comments (3)
hellochick
commented on July 28, 2024
1
Hey @manuel-88 , sorry for my late reply. The issue you mentioned is a big problem, it really strange all classes have same weight. However, this metric is generally used in semantic segmentation task. So you can compare with other works based on this metric.
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hellochick
commented on July 28, 2024
Hey @manuel-88 , in the beginning of the evaluation process, not all classes in the confusion matrix have values, and this will affect the mIoU. Hence, you can discover that over a few steps, the mIoU will around the final value. Can this help you?
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manuel-88
commented on July 28, 2024
Ok, I understand now thank you. But this metric do not consider the frequency of pixels? means that classes with very less occurrence are same weighted than classes which occur often.
Is this the metric which is generally used in semantic segmentation? My goal is it to compare the outcome of your framework with others and I want to be sure that the metric for all is the same.
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Related Issues (20)
- Errors in restoring the session evalucation.py and network.py
- ValueError: Shape must be rank 4 but is rank 3 for 'data_sub2' (op: 'ResizeBilinear') with input shapes: [720,720,3], [2]. HOT 3
- Why is it suddenly 'killed' run train.py? HOT 1
- How predict the result to use my training model ckpt.meta?
- Dimension not equal HOT 1
- ValueError:Variable conv does not exist
- ValueError when using own dataset HOT 2
- Training own dataset
- Inference time is too high(about 3.5x as supposed to be ~0.04s)
- multi GPU training?
- tensorflow's version HOT 1
- How to use the pre-trained modle of ade20k provided by author,I use the code in demo.ipynb,but it can't open the file,the cityscapes works well.
- Training over-fitting after every epochs
- same classification result with every pixel HOT 1
- can get correct result
- bad results of voc2012
- The update stops and the loss does not drop HOT 4
- Assign requires shapes of both tensors to match. lhs shape= [13] rhs shape= [150]
- 上一个项目
- 关于ade20k的分割结果，颜色和标签有对应关系吗？
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