I’ve been learning data science by taking an online course from Coursera IBM Data Science Specialization. It is the second time for me to recap this course. Although this Data Science course is a foundation course for Data Science beginners, it has many curated lecture videos and practical tools with real world applications. The whole specialization course has 11 courses and contains quizzes, hands-on exercises and one final cap stone project. You will also be familiar with IBM Watson Studio while practicing their exercises. …

Histogram of Oriented Gradients(HOG), one of the well-known image processing algorithms, is a feature descriptor that is used for extracting essential features and shapes of a particular object within an image such as edges and textures. Features extracted by HOG can be used to feed into machine learning and deep learning model. The paper, “Histograms of Oriented Gradients for Human Detection”, was written by two French researchers: Navneet Dalal and Bill Triggs, has been widespread and popular since 2005 although the concept behind HOG was implemented early with a patent application in 1986.

Figure (1) - Pedestrian detection with HOG taken from Histograms of Oriented Gradients for Human Detection

HOG converts an image having (width x…

Wai Yan Kyaw

Engineering student from Myanmar keen on learning computer vision and AI

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