A Comprehensive Tutorial on Stereo Geometry and Stereo Rectification with P

Everything you need to know about Stereo Geometry

The New Normal: The Coming Tsunami of Fakery

How the Dead Internet Theory is fast becoming reality thanks to zero, marginal-cost content generated at infinite scale

How to Perform Motion Detection Using Python - KDnuggets

In this article, we will specifically take a look at motion detection using a webcam of a laptop or computer and will create a code script to work on our computer and see its real-time example.

What is YOLOv7? A Complete Guide.

In this guide, we discuss what YOLOv7 is, how the model works, and the novel model architecture changes in YOLOv7.

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for...

YOLOv7 surpasses all known object detectors in both speed and accuracy in the range from 5 FPS to 160 FPS and has the highest accuracy 56.8% AP among all known real-time object detectors with 30...

YOLOv6: next-generation object detection — review and comparison

eview and comparison of the next generation object detection

NVIDIA NeRF AI Renders Amazingly Realistic 3D Scenes From 2D Photos In Just

It takes a human being around 0.1 to 0.4 seconds to blink. In even less time, an AI-based inverse rendering process developed by NVIDIA can generate a 3D scene from 2D photos.

Are You Better Than a Machine at Spotting a Deepfake?

New research shows that detecting digital fakes generated by machine learning might be a job best done with humans still in the loop.

Asset2Vec: Turning 3D Objects into Vectors and Back

How we used NeRF to embed our entire 3D object catalogue to a shared latent space, and what it means for the future of graphics

Curating a Dataset from Raw Images and Videos

Best-practices to follow when building datasets from large pools of image and video data and tools that make it straightforward.

How to stop AI from recognizing your face in selfies | MIT Technology Revie

A growing number of tools now let you stop facial recognition systems from training on your personal photos

Detecting Twenty-thousand Classes using Image-level Supervision

Current object detectors are limited in vocabulary size due to the small scale of detection datasets. Image classifiers, on the other hand, reason about much larger vocabularies, as their datasets...

HRNet explained: Human Pose Estimation, Semantic Segmentation and Object De

Revealing whats behind the state-of-the art algorithm HRNet

Essential Linux Command-Line Tricks for Computer Vision Researchers

In this post, you will learn some cool command line tricks which can help you to speed up your day-to-day R&D.

Object Detection Algorithms and Libraries - neptune.ai

A guide on object detection algorithms and libraries that covers use cases, technical details, and offers a look into modern applications.

10 Computer Vision Terms Everyone Must Know About!

The ten essential computer vision terminologies that everyone should learn to become more proficient at computer vision with sample codes

Researchers Create 'Master Faces' to Bypass Facial Recognition

According to the paper, their findings imply that facial recognition systems are “extremely vulnerable.”

5 Ultimate Python Libraries for Image Processing

OpenCV is not the only one

Same or Different? The Question Flummoxes Neural Networks. | Quanta Magazine

For all their triumphs, AI systems can’t seem to generalize the concepts of “same” and “different.” Without that, researchers worry, the quest to create truly intelligent machines may be hopeless.

Complete Guide to Data Augmentation for Computer Vision

Data Augmentation is one of the most important topics in Deep Computer Vision. When you train your neural network, you should do data augmentation like… ALWAYS. Otherwise, you are not using your…

Surviving an In-Flight Anomaly: What Happened on Ingenuity’s Sixth Flight -

On the 91st Martian day, or sol, of NASA’s Mars 2020 Perseverance rover mission, the Ingenuity Mars Helicopter performed its sixth flight. The flight was designed to expand the flight envelope and demonstrate aerial-imaging capabilities by taking stereo images of a region of…

Essential Linear Algebra for Data Science and Machine Learning - KDnuggets

Linear algebra is foundational in data science and machine learning. Beginners starting out along their learning journey in data science--as well as established practitioners--must develop a strong familiarity with the essential concepts in linear algebra.

How image search works at Dropbox - Dropbox

Top 5 Python libraries for Computer vision

Computer vision is the field of computer science that focuses on replicating parts of the complexity...

jsbroks/coco-annotator: :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints - jsbroks/coco-annotator

Gentle introduction to 2D Hand Pose Estimation: Approach Explained

Detailed tutorial on where to find a dataset, how to preprocess data, what model architecture and loss to use, and, finally, how to…

A Beginner’s Guide to Image Augmentations in Machine Learning

Data Augmentation is one of the most important yet underrated aspects of a machine learning system …

Breaking Through the Uncanny Valley

In 1970 robotics professor Masahiro Mori observed, "Bbukimi no tani genshō," which was later translated into "uncanny valley". This refers to an observed phenomenon (first in robots, but also applies to digital recreations) that the more human-like the robot the greater the…

Image Feature Extraction Using PyTorch

Case Study: Image Clustering using K-Means Algorithm

New AI tool detects Deepfakes by analyzing light reflections in the eyes

Computer scientists from the University at Buffalo used the method to successfully detect Deepfakes taken from This Person Does Not Exist.

Deep Nostalgia AI brings your photos to life just like in the ‘Harry Potter

Deep Nostalgia AI brings your photos to life just like in the Harry Potter movies.

State-of-the-Art Image Generation Models

I have aggregated some of the SotA image generative models released recently, with short summaries, visualizations and comments. The overall development is summarized, and the future trends are spe…

How to Use Roboflow and Streamlit to Visualize Object Detection Output

Building an app for blood cell count detection.

Image Processing with Python — Using RG Chromaticity

How to use the Gaussian Distribution for Image Segmentation

Object Tracking | Papers With Code

**Object tracking** is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment. State-of-the-art methods involve…

Computer Vision | Papers With Code

**Denoising** is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of…

The Child Affective Facial Expression (CAFE) set: validity and reliability

Emotional development is one of the largest and most productive areas of psychological research. For decades, researchers have been fascinated by how humans respond to, detect, and interpret emotional facial expressions. Much of the research in this area ...

10 GitHub Repositories to Master Computer Vision

The GitHub repository includes up-to-date learning resources, research papers, guides, popular tools, tutorials, projects, and datasets.