object detection

Running Deep Learning models in OpenCV

by Ankit Sachan • July 12, 2018

OpenCV: The open source computer vision library for everyone: OpenCV has been the go-to library for computer vision for more than a decade. Released under BSD license, OpenCV code is free to be used for academic as well as commercial purposes. Millions of developers/academics/companies have been using OpenCV to build some really cool stuff. Deep […]

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Object Detection using Single Shot Multibox Detector

by koustubh • January 2, 2018

In a previous post, we covered various methods of object detection using deep learning. In this blog, I will cover Single Shot Multibox Detector in more details. SSD is one of the most popular object detection algorithms due to its ease of implementation and good accuracy vs computation required ratio. Work proposed by Christian Szegedy […]

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Zero to Hero: Guide to Object Detection using Deep Learning: Faster R-CNN,YOLO,SSD

by Ankit Sachan • December 28, 2017

In this post, I shall explain object detection and various algorithms like Faster R-CNN, YOLO, SSD. We shall start from beginners’ level and go till the state-of-the-art in object detection, understanding the intuition, approach and salient features of each method. What is Image Classification?: Image classification takes an image and predicts the object in an […]

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Case-Study: Better HAAR feature-based Eye Detector using OpenCV

by koustubh • January 11, 2017

Motivation behind this post: Opencv object detectors which are built using Haar feature-based cascade classifiers is at least a decade old. OpenCV framework provides a default pre-built haar and lbp based cascade classifiers for face and eye detection which are very good quality detectors. However, I had never measured the accuracy of these face and […]

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