Google recently partnered with Stanford University's School of Medicine to collect photos of skin disorders across a wide range of skin colors and body parts to create the "SCIN dataset" for AI training, which is said to be "made entirely from photos submitted by volunteers using the web" and therefore is said to "reflect common skin problems". The SCIN dataset claims to "reflect common skin problems" as it "uses photos submitted by volunteers using the web". ▲ Source Google's official press release (below) Google mentioned that many of the industry's medical-specific dermatology image datasets are usually for "major diseases," such as people's common rashes, allergies, and infections that are usually not in the dataset, so it's important for the application to be able to...