The biggest regret of professional hackers when they were beginners and their advice.
I was surfing Reddit and stumbled on this post which I found very interesting and thought it might be helpful for beginners who’re starting in a hacking career. The question was “What is your biggest…
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Synthetic Bounding Box Generation
A step further to generate artificial bounding boxes for balanced training in object detectors
While training object detection networks, almost all of us must have gone through the pain of dataset balancing. Since an imbalance dataset can create a lot of issues in accuracy numbers during inference. This article is dedicated to one such method which generates synthetic bounding boxes based on given ground truth boxes.
However, this article will cover only the main algorithm of the bounding box generation and its code snippets.
An imbalanced dataset are mostly is Foreground-Background and the other is Foreground-Foreground imbalance.
The main goal of this algorithm is to generate a spatial distribution in which generated synthetic box results in IoU > T(threshold).
The proposed algorithms flow given in Fig-2.
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