Deep learning based models have achieved the state of the art performance for image recognition and object detection tasks in the recent past. Many of these models are able to achieve human level ...
Fully Convolutional 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 ...
Geometry of Image Formation
In this post, we will explain the image formation from a geometrical point of view. Specifically, we will cover the math behind how a point in 3D gets projected on the image plane. This post ...
EfficientNet: Theory + Code
In this post, we will discuss the paper "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks" At the heart of many computer vision tasks like image classification, object ...
Face Recognition: An Introduction for Beginners
Face Recognition is a computer vision technique which enables a computer to predict the identity of a person from an image. This is a multi-part series on face recognition. In this post, we will ...
Image Segmentation
In computer vision the term "image segmentation" or simply "segmentation" refers to dividing the image into groups of pixels based on some criteria. A segmentation algorithm takes an image as ...
