Computer Vision

A deep dive into Computer Vision algorithms which make your models more interpretable. A notebook implementing this can be found here — https://www.kaggle.com/code/tanishqsardana/cam-gradcam-and-gradcam/notebook Computer Vision is an exciting field with numerous applications and multiple types of operations like segmentation and classification. When using neural networks, we evaluate the model’s performance…

I’m thrilled to share my experience with a fascinating new programming language called MOJO. Developed by Modular, founded by Tim Davis and Chris Lattner (a key contributor to SWIFT), MOJO is a Python superset designed specifically for AI applications. MOJO’s standout feature is its exceptional performance, boasting speeds up to…

Increasing NeRF training speed by 100x or more… — As we have seen in previous overviews, the proposal of Neural Radiance Fields (NeRFs) [4] was a breakthrough in the domain of neural scene representations. Given some images of an underlying scene, we can train a NeRF to generate arbitrary viewpoints of this scene at high resolution. …

As biometric technology continues to grow in popularity, facial recognition systems have become not only a crucial part of many industries but part of our daily lifestyle — from unlocking our smartphones to securing sensitive areas. However, with the increased use of biometric data comes the risk of spoofing attacks…

Computer vision (CV) is a field of computer science that focuses on enabling computers to understand and interpret visual data from images or video. It basically tries to replicate human vision capabilities in various visual tasks such as object detection and recognition, image classification, object tracking and so on. …

Computer vision tools, my fellow developers, are like the secret weapons in our coding arsenal. They’re the key to processing and analyzing visual data, and today I’m here to unveil ten glorious tools that have been causing a stir in the thrilling world of computer vision development. 1. OpenCV The Master of…

The next generation is growing in a digital world that has revolutionized how we look at things. …

Object detection is a fundamental task in computer vision that involves identifying and localizing objects within an image or video. Convolutional Neural Networks (CNNs) have revolutionized the field of object detection, enabling accurate and efficient detection in real-time applications. One such popular algorithm is YOLO (You Only Look Once), known…

In the realm of multimodal learning, image captioning stands as a process that involves the generation of meaningful textual descriptions or captions corresponding to given images. Unlike the task of assigning class labels to images (image classification), image captioning combines two distinct modalities, namely images and texts used in computer…