Deep learning has triggered the current rise of artificial intelligence and is the workhorse of
today's machine intelligence. Numerous success stories have rapidly spread all over …

The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

Data is the driving force of machine learning, with the amount and quality of training data
often being more important for the performance of a system than architecture and training …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Using synthetic data for training deep neural networks for robotic manipulation holds the
promise of an almost unlimited amount of pre-labeled training data, generated safely out of …

We present a system for training deep neural networks for object detection using synthetic
images. To handle the variability in real-world data, the system relies upon the technique of …

With recent progress in graphics, it has become more tractable to train models on synthetic
images, potentially avoiding the need for expensive annotations. However, learning from …

We present a benchmark suite for visual perception. The benchmark is based on more than
250K high-resolution video frames, all annotated with ground-truth data for both low-level …

DeepMind Lab is a first-person 3D game platform designed for research and development of
general artificial intelligence and machine learning systems. DeepMind Lab can be used to …

In recent years, deep neural nets have triumphed over many computer vision problems,
including semantic segmentation, which is a critical task in emerging autonomous driving …