Open Images Dataset v4 (Bounding Boxes)

A set of 1.9 million images, annotated with bounding boxes for 600 classes of objects, served in collaboration with Google.

Please view this page on a desktop computer to see more information including CSV preview and download options.

About this Data

NEW: We’re now hosting the Open Image Challenge 2018 Test set. You can download it by clicking this link.

Open Images is a dataset of 9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes. Version 4 of Open Images focuses on object detection, with bounding boxes annotated across 1.9 million images. The annotations cover 600 classes of objects, grouped hierarchically.

We collaborated with Computer Vision scientists from Google to host this dataset, and it is the feature set for the “Open Images Challenge 2018”, the object detection challenge at the European Conference on Computer Vision 2018 (ECCV 2018).

For more on the Open Images Dataset, you can head here.

 

 

 

Annotated images from the Open Images dataset. Left: Mark Paul Gosselaar plays the guitar by Rhys A. Right: Civilization by Paul Downey. Both images used under CC BY 2.0 license.

Raw Data

The input data for this job is 9 million royalty-free images. It was created as part of a multi-job workflow. To recreate it, please contact Figure Eight.

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Download Options
NEW: Open Images Challenge 2018 Test Set - test_challenge.zip | 9.7 GB
test.zip | 36.1 GB
test-annotations-bbox.csv | 49.8 MB
test-images.csv | 14.7 MB
train_00.zip | 58.6 GB
train-annotations-bbox.csv | 1.1 GB
train-images-boxable.csv | 206.1 MB
train_01.zip | 59.1 GB
train_02.zip | 59.1 GB
train_03.zip | 58.6 GB
train_04.zip | 59.0 GB
train_05.zip | 58.2 GB
train_06.zip | 58.3 GB
train_07.zip | 59.0 GB
train_08.zip | 42.0 GB
validation.zip | 12.0 GB
validation-annotations-bbox.csv | 16.3 MB
validation-images.csv | 5.1 MB
Please note

The official Open Images Challenge 2018 Test Set is in file test_challenge.zip. Do not confuse it with test.zip, which is the test set of Open Images V4.

The file class-description-boxable.csv should be used to identify class IDs and their corresponding object class names. You can download it here.

The train and validation sets contain the image and bounding-box annotations for Open Images V4. The training images also correspond to those used in the Open Images Challenge 2018, but not the box annotations. For the box annotations specific to the Challenge, visit the Challenge page.