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Open Images 2019 – Object Detection

Posted July 15, 2019

Computer vision has advanced considerably but is still challenged in matching the precision of human perception.

Open Images is a collaborative release of ~9 million images annotated with image-level labels, object bounding boxes, object segmentation masks, and visual relationships. This uniquely large and diverse dataset is designed to spur state of the art advances in analyzing and understanding images.

Image credit: MTheiler/Wikipedia/CC BY-SA 4.0

Object Detection Track

In this track of the Challenge, you are asked to predict a tight bounding box around object instances.

The training set contains 12.2M bounding-boxes across 500 categories on 1.7M images. The boxes have been largely manually drawn by professional annotators to ensure accuracy and consistency. The images are very diverse and often contain complex scenes with several objects (7 per image on average).

Submission to this Challenge must be received by 11:59 PM UTC on September 24, 2019.

Source: Kaggle

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