We make tools and datasets available to the broader research community with the goal of building a more collaborative ecosystem.
Some of our datasets
A large-scale labeled video dataset that consists of 8 million YouTube video IDs, deep inception-3 features, and associated labels from a diverse vocabulary of 4800 visual entities.
The DEMOGEN dataset consists of 756 trained deep models, along with their training and test performance on the CIFAR-10 and CIFAR-100 datasets
A dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories.
Contains images annotated with labels representing human-made and natural landmarks. The dataset can be used for landmark recognition and retrieval experiments.
Comprehensive sound ontology with over 600 sound classes and a dataset of over 2 million 10-second YouTube clips human-annotated with sound labels.
A question answering dataset. Text of real anonymized, aggregated queries issued to the Google search engine.
A collection of examples of a robot arm pushing and grasping a variety of objects. The dataset contains RGB-D views of the arm, gripper and objects, along with actuation and position parameters.
A large-scale and high-quality dataset of annotated musical notes.
Our open-source machine learning platform for everyone.
Code for the Quantum World.
Google believes that open source is good for everyone.
Explore all the open source releases from Google Research.
Tools and services
Ecosystem of tools to help you use TensorFlow
The TPU Research Cloud (TRC) program enables researchers to apply for access to a cluster of more than 1,000 Cloud TPUs at no charge to help them accelerate the next wave of research breakthroughs.
Dataset Search enables users to find datasets stored in thousands of repositories across the web, making these datasets universally accessible and useful for everyone.
Train and run machine learning models faster than ever before.
Google Cloud's AI provides modern machine learning services, with pre-trained models and a service to generate your own tailored models.
Train high quality custom machine learning models with minimum effort and machine learning expertise.
Colaboratory is a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud.