Context Labeled datasets are useful in machine learning research. Content This public dataset contains approximately 9 million URLs and metadata for images that have been annotated with labels spanning more than 6,000 categories. Tables: 1) annotations_bbox 2) dict 3) images 4) labels Update Frequency: Quarterly Querying BigQuery Tables **[Fork this kernel to get started][3]**. Acknowledgements https://bigquery.cloud.google.com/dataset/bigquery-public-data:open_images https://cloud.google.com/bigquery/public-data/openimages APA-style citation: Google Research (2016). The Open Images dataset [Image urls and labels]. Available from github: https://github.com/openimages/dataset. Use: The annotations are licensed by Google Inc. under CC BY 4.0 license. The images referenced in the dataset are listed as having a CC BY 2.0 license. Note: while we tried to identify images that are licensed under a Creative Commons Attribution license, we make no representations or warranties regarding the license status of each image and you should verify the license for each image yourself. Banner Photo by [Mattias Diesel][1] from [Unsplash][2]. Inspiration Which labels are in the dataset? Which labels have "bus" in their display names? How many images of a trolleybus are in the dataset? What are some landing pages of images with a trolleybus? Which images with cherries are in the training set? [1]: https://unsplash.com/@mattiasdiesel [2]: https://unsplash.com/ [3]: https://www.kaggle.com/paultimothymooney/starter-kernel-for-open-images-dataset