Applied Computer Vision,AI, and Data Science.

What has to change in YOLO26 when an object detector leaves a notebook and becomes part of a camera, a robot, or a system that must respond in real time?...

Can one drone locate and pursue another by listening to the sound of its propellers? SonicFly approaches that question as a problem in embodied passive aeroacoustic perception: a flying robot...

Can an object detector identify every object in an image without generating thousands of proposals and then removing duplicate boxes with non-maximum suppression? DETR demonstrated that it can, provided detection...

Can a machine-learning model appear reliable because its preprocessing has already seen the test set? This failure is called data leakage. It occurs when information that should remain unavailable during...

Why should a confidently wrong prediction receive a much larger penalty than an uncertain one? Binary cross-entropy answers this question by evaluating probabilities, not merely final class labels. A model...

How can a collection of ordinary photographs become a set of cameras positioned in space and, eventually, a three-dimensional point cloud? Before a reconstruction system can estimate depth, it must...

What if you could take a neural network that took weeks to train on millions of images and, in just a few minutes, adapt it to solve your specific problem?...

What if I told you that a model originally created to translate text can analyze images with performance comparable to — and in some cases better than — Convolutional Neural...

You've trained a neural network, but have no idea what it's actually looking at to make its decisions? The truth is that deep neural networks, especially deep learning models, work...

Can a computer-vision pipeline reject a blurred frame before that frame reaches a detector, classifier, or measurement system? One practical answer is to examine what blur removes: the fine spatial...

Have you ever stopped to think about what happens between the moment light enters a camera lens, is focused at the focal point, passes through the Bayer filter, hits the...

Histogram is a concept that is present directly or indirectly in practically all computer vision applications. In histogram equalization, we aim for the full spectrum of intensities, distributing the pixel...

Welcome to this tutorial on ORB-SLAM 3, a powerful tool for 3D mapping and localization. If you’re interested in computer vision, robotics, or simply want to learn more about the...

Training YOLOv9 on a custom dataset involves preparing a dataset specific to the detection task and configuring the model parameters. The process begins with collecting and annotating images that represent...

YOLOv9 has arrived! If you were still using previous models for object detection, such as Ultralytics' YOLOv8, there's no need to worry. Throughout this text, I will provide all the...

Monocular Depth Estimation is a Computer Vision task that involves predicting the depth information of a scene, that is, the relative distance from the camera of each pixel, given a...

Point Cloud Processing with Open3D and Python The field of 3D understanding has been attracting increasing attention in recent times, significantly propelled by AR and Spatial Computing technology, backed by...

On April 11, 1970, at 1:13 PM, NASA launched the Saturn V rocket from the John F. Kennedy Space Center, commencing the seventh manned mission of its Apollo Program –...

As we delve into advanced concepts like convolutional neural networks, transformers, and Generative Artificial AI, it's natural to question the relevance of classical methods like k-Nearest Neighbors (k-NN) in 2024....

Did you know that it's possible to perform a 3D reconstruction of an entire city using Computer Vision techniques from photos found online? I mean, photos that other people have...