30th April 2018 new version of Open Images Dataset V4 is released. There is also announced a challenge for best object detection results using this dataset.

Here you can see data examples: Open Images Dataset V4

ECCV 2018 Open Images Challenge

During ECCV 2018 conference there will be a workshop dedicated  Open Images Challenge (presented by Vittorio Ferrari, Alina Kuznetsova, Jasper Uijlings, Rodrigo Benenson, Victor Gomes, Matteo Malloci). They will announce challenge results.

The Challenge has two tracks:

1. Object Class Detection: predicting a tight bounding box around all instances of the 500 classes.
2. Visual Relationship Detection: detecting pairs of objects in particular relations, e.g. „woman playing guitar”.

Dataset

There are image-level labels (table 1) and bounding boxes for object detection (table 2). Labels where generated automatically by machine and then checked by humans thanks to Crowdsource labeler.

Table 1: Image-level labels

Table 2: Object Detection track annotations on training set

Examples

Here are some examples, more you can find here: Open Images Dataset V4

Dates

• April 30th 2018: training set for object detection track released (with bounding box annotations).
• May 10 2018: visual relationship detection annotations on the training set will be released.
• May 31 2018: evaluation metric protocols and implementation will be released (as a part of the TF Object Detection API).
• July 1st 2018: a test set of 100k images will be released by Kaggle.
• September 1st 2018: deadline for submission of results.
• September 8th 2018: Open Images Challenge Workshop

Links

• Open Images Dataset V4
• Crowdsource labeler