In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the required package, discovering the available model collection, and loading MobileNet-V2 ...

So, you want to learn Python, and you’re thinking YouTube is the place to do it. Smart move! The internet is packed with video lessons that can take you from zero to coding hero. But with so many ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Ollama has become the standard for running Large Language Models (LLMs) locally. In this tutorial, I want to show you the most important things you should know about Ollama. Ollama is an open-source ...

Abstract: Unmanned Aerial Vehicles (UAVs) are becoming essential visual monitoring technologies in various fields including urban planning, environmental monitoring, traffic surveillance, and disaster ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

Small object detection is a critical task in applications like autonomous driving and ship black smoke detection. While Deformable DETR has advanced small object detection, it faces limitations due to ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...