xmindflow
About Datasets
Hello, I noticed that in your code, the training and testing sets are placed in the same folder. So, during testing, a portion of the images are randomly selected for segmentation testing? Or will the last 100 images be used for testing? If you could reply, I would greatly appreciate it
Dear @M0ck4ry,
Thank you for contacting us. In the datasets directory, we have outlined how the data is split for each dataset.
For example, in the case of the PH2 dataset, the code specifies the split as follows:
- The first 80 images are used for training.
- The next 20 images are used for validation.
- The subsequent 100 images are used for testing.
This means the dataset split is not done randomly; it follows a predefined order as mentioned above.
If you have any further questions or need additional clarification, please feel free to ask.
Sincerely,
Yousef Sadegheih
Dear @bravo-hq , Thank you for your reply. Yes, I noticed what you said. But I used 10 sample images for testing, the final segmentation corresponding to the original image is different from the 10 sample images I found. What is the reason for this? If I could receive your reply, I would greatly appreciate it
Dear @M0ck4ry,
Could you please provide more details about the dataset you are working on and the specific changes you have made? This information will help us assist you more effectively. It's important to ensure that the pairs of images and labels remain together and are not mismatched.
Sincerely, Yousef Sadegheih
Dear @bravo-hq
Thank you for your reply again. I tried to train with 80 images, validate with 10 images, and test with 9 images (these 99 images are located in a separate folder). It was found that the 9 images tested were completely different from the last 9 images in the previous dataset.Here are some screenshots and images of the files
The first image is the log section, and the second image is the generated result. I found that these 9 test images are completely different from the last 9 of the 99 images I set (i.e. the test set). Normally, im.png and gt.png should be identical to the previous pictures. But the result is not like that. I would greatly appreciate it if you could reply
Does ISIC2016
dataset work on your code? Because ISIC2018 is too large and I cannot successfully download it.
ISIC2016 数据集适用于您的代码吗？因为 ISIC2018 太大，我无法成功下载。
Hello, ISIC2016 is applicable; I ran his code and the results are almost identical to what is shown for ISIC2018 dataset in the paper.
Thank you for your letter. I am only using the ISIC2018 dataset. The results obtained are similar to the paper, but the segmented images are not the sample images in the test set. I am not sure if it was a problem set by myself. Message ID: @.***>