failed to work when using my own dataset

[lu-jincheng]

I can generate good result when training and testing with the provided image data, but when turning to my own dataset, which were chest X-ray images with lung masks, the test result images were basicly all black, sometimes with a white line near the edge. The metric "accuracy" was above 0.9 during training but the output images were bad, that is what I'm confused aboout. I tried to replace the metrics with dice, but the result were still all black.

[synioe]

Maybe there are some mistakes in you own dataset.By the way,I'm working on training my own dataset.How did you make labels with you own dataset?

[happy20200]

在使用提供的图像数据进行训练和测试时，我可以产生良好的结果，但是当转到我自己的数据集时，即带有肺罩的胸部X射线图像，测试结果图像基本上都是黑色的，有时在边缘。训练期间的指标“准确性”高于0.9，但输出图像很差，这就是我感到困惑的地方。我尝试用骰子替换指标，但结果仍然是黑色的。 May I ask if you solved this problem, I was testing directly with my own data but it didn't work well.