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 ...

A water management district in Florida’s Everglades is using robot rabbits to help monitor and eventually eliminate its ever-growing population of invasive Burmese pythons that have wreaked havoc on ...

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 ...

The complete 3,200-megapixel image is so vast and detailed, it's beyond the comprehension of human eyes, project scientists said at a news conference Monday. Luckily, the Rubin Observatory team has ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

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 ...