Deep Learning CNN Convolutional Neural Networks with Python - Person Detection

Deep Learning CNN Convolutional Neural Networks with Python - Person Detection

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Information Technology (IT), Architecture, Physics, Science

University

Hard

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The video tutorial discusses the challenges of object detection, focusing on shift, scale, and rotation invariance. It introduces the Histogram of Oriented Gradients (HOG) as a feature extractor and Support Vector Machine (SVM) as a classifier. The tutorial explains the implementation of a person detection model using these techniques, highlighting the solutions for handling invariance problems through sliding windows and image scaling.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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