In Machine Learning, we always want to get insights into data: like getting familiar with the training samples or better understanding the label distribution. To do that, we visualize the data in many ...
Latest From the Blog
Multi-Label Image Classification with PyTorch
Back in 2012, a neural network won the ImageNet Large Scale Visual Recognition challenge for the first time. With that Alex Krizhevsky, Ilya Sutskever and Geoffrey Hinton revolutionized the area of ...
CNN Receptive Field Computation Using Backprop
In the previous post, we learned how to classify arbitrarily sized images and visualized the response map of the network. In Figure 1, notice that the head of the camel is almost not ...
Augmented Reality using ArUco Markers in OpenCV (C++ / Python)
In this post, we will explain what ArUco markers are and how to use them for simple augmented reality tasks using OpenCV. ArUco markers have been used for a while in augmented reality, camera pose ...
Fully Convolutional Network For Image Classification on Arbitrary Sized Image
In this post, we will learn how to perform image classification on arbitrary sized images without using the computationally expensive sliding window approach. This post is written for people who are ...
Camera Calibration using OpenCV
A camera, when used as a visual sensor, is an integral part of several domains like robotics, surveillance, space exploration, social media, industrial automation, and even the entertainment ...
