The MIT CSAIL has developed MAGE, a unified AI system capable of handling both image generation and image recognition tasks.

MIT researchers have found a way to classify images using synthetic data, which they claim can rival models trained from real data.

MIT researchers say the influential ImageNet data set has "systematic annotation issues" when used as a benchmark for evaluating object recognition models.

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...