AI that can teach itself
An ongoing challenge to creating robust object detection algorithms is their thirst for large datasets. Thanks to transfer learning, rapid prototypes are possible with as little as 10 images, thanks to weeks of pre-training, and can be trained in as little as one hour! Of course, to create a more robust algorithm, large datasets are required from a wide range of environments, to help the AI generalise to new contexts. Annotation (the process of Read more…