Object detection is one of the most popular tasks in computer vision which involves recognizing and localizing objects using bounding boxes. Object detectors usually spit out huge number of overlapping bounding boxes corresponding to the same object. Naturally, the next step involves choosing the boxes that best localize objects such that each object has only 1 corresponding bounding box.

In object detection, first category independent region proposals are generated. These region proposals are then assigned a score for each class label using a classification network and their positions are updated slightly using a regression network. Finally,non-maximum-suppression is applied.

Post processing methods are usually employed for this purpose. They help suppress superfluous boxes and aid in selecting the best possible boxes. This article provides an overview of some of the popular post processing mechanisms.

Before proceeding with the different post…


Web push notifications are messages that come from a website. You get them on your desktop or device even when the concerned web page is not open in your browser. They allow users to opt-in for timely updates from web apps that aim to re-engage their user base with content that might be interesting, important and well-timed for the users.

Push is based on Service Workers,the reason being they operate in the background. This is great for Push Notifications because it means that their code is being executed only when a user interacts with the notification itself.

Push & notification

Push and notification…

Rushali Grandhe

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