Abstract: In computer vision, the goal of object identification in images is to track or count objects such as persons, cars, animals and so on. Object detection techniques have found their place in ...

I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always ...

Abstract: Despite the unprecedented success of text-to-image diffusion models, controlling the number of depicted objects using text is surprisingly hard. This is important for various applications ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

This repository contains a Python script for performing object detection on images using the YOLOv5 model. The detected objects are saved to a PostgreSQL database, and the results can be visualized ...

This week, NFL pundits have been highlighting just how impactful Detroit Lions fans were at NRG Stadium during their team's Week 10 matchup against the Houston Texans. During the latest edition of ...

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...