Comments (5)
Maybe a better approach would be to be able to download all of the associated masks available and let the operator using the images to decide which masks are better. From what I have seen, sometimes the novice annotator may have a more defined segmentation mask while the expert creates an octagon around a mole and vice versa. Whether one approach is better than the other is clearly subjective based on what the person using the images determines to be correct.
from isic-archive-downloader.
That is a sound idea :)
When i'll get to implement this, i'll be sure to use this approach
from isic-archive-downloader.
I've added the ability to mark a preferred segmentation skill level. :)
623b75c
This means that when multiple segmentation are available, the script will download a segmentation with the preferred skill level.
Otherwise, it will download a segmentation at random.
Plus, the names of the segmentation images now contain their skill level.
Can you confirm that you can this new functionality? :)
from isic-archive-downloader.
I second the idea of being able to download all segmentations associated with an image. :)
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Related Issues (20)
- README.md change "num_image" to "num-images" HOT 1
- Filter not working!! HOT 3
- Some images are actually RGBA and not JPEG HOT 2
- Syntax error in script HOT 4
- .gitignore HOT 3
- Download k samples of each class HOT 3
- Skip sample if it takes too long to download HOT 3
- Downloading images by Lesion diagnosis HOT 3
- Format invalid data HOT 2
- Download Freeze ! HOT 5
- Choosing Datasets HOT 1
- βfilter benign flags says none after downloading description HOT 1
- ImportError: DLL load failed HOT 3
- Filter by diagnosis
- Syntax error HOT 6
- Syntax error HOT 3
- Wondering if it is possible to modify the code to download just 2019 segmentation images data?
- Segmentation is not downloaded if 'failed' = True
- json.decoder.JSONDecodeError: Expecting value: line 1 column 6067423 (char 6067422) HOT 4
- Please fix malignant downloading issue HOT 3
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