See https://universe.roboflow.com/asters-sandbox/oceancv-sswd-object-detection-v1 for the roboflow project with annotated images (with many, many classes, noting condition, species, juvinile, etc., plus quite a few tags.).
See https://universe.roboflow.com/asters-sandbox/oceancv-sswd-object-detection-v2-only-condition for the roboflow project with all classes collapsed into 'diseased' and 'healthy'. (There is also a 'brooding' class, but that only applies to two images, which were removed from the dataset.) This is what was used to the create the model.
More info TBA.
In roboflow:
Pre-processing (applied to each image):
- Auto-orientation of pixel data (with EXIF-orientation stripping)
- Resize to 512x512 (Stretch)
Augmentation (applied to create 3 versions of each source image):
- Randomly crop between 0 and 35 percent of the image
- Random Gaussian blur of between 0 and 1 pixels
- Salt and pepper noise was applied to 0.3 percent of pixels
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