Abstract: This article presents a novel hybrid framework that integrates spatial and temporal processing techniques for detecting and identifying incipient fires. By combining thermal imaging with a ...

Abstract: The current mainstream research on color-thermal (i.e., RGB-T) object detection assumes that the RGB and thermal images are strictly aligned. However, in practical situations, due to the ...

Overall mAP@0.5: 81.5% Drone Class mAP@0.5: 91.1% (High confidence in drone identification) Frameworks: PyTorch, Ultralytics, Python. The dataset used for training is ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

What if you could automate tedious development tasks, deploy applications with a single click, and manage your codebase from anywhere in the world, all without sacrificing quality or control? It might ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...