Overview Understand the concept of Non-Max Suppression Learn how object detection algorithms use Non-Max Suppression Implement non-max suppression using NMS function in PyTorch Introduction …
How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for …
Overview Convolutional neural networks (CNNs) are all the rage in the deep learning and computer vision community How does this CNN architecture work? We’ll …
Overview Pandas is the most popular Python library in data science From building Pandas dataframes to manipulating data using Pandas, this library is the …
Overview Feature engineering is a skill every data scientist should know how to perform, especially in the case of time series We’ll discuss 6 …
Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also …
Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase …
Overview New to working with image data? The skimage module in Python is an ideal starting point Learn 8 simple yet powerful tricks for …
Overview Learn the inner workings and math behind the HOG feature descriptor The HOG feature descriptor is used in computer vision popularly for object …
Overview Did you know you can work with image data using machine learning techniques? Deep learning models are the flavor of the month, but …
