New Amazon tool helps machine learning models identify unique objects – TechCrunch

Amazon announced a new capability today called Amazon Rekognition Custom Labels to help customers train machine learning models to understand a set of objects when there is a limited set of information. Typically, machine learning models have to work on large data sets to learn something like what's a picture of a dog, as opposed to some other animals. Amazon Rekognition Custom Labels can work with a limited data set to teach the algorithm a group of objects specific to a given use case. "Instead of having to train a model from scratch, which requires specialized machine learning expertise and millions of high-quality labeled images, customers can now use Amazon Rekognition Custom Labels to achieve state-of-the-art performance for their unique image analysis needs," the company wrote in a blog post announcing the new feature. For example, you may want to teach the model to identify a set of engine parts, a limited set of information, which has a lot of meaning to a specific use case.