Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

Abstract: Traffic Salient Object Detection (TSOD) aims to segment the objects critical to driving safety by combining semantic (e.g., collision risks) and visual saliency. Unlike SOD in natural scene ...

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

Overall [email protected]: 81.5% Drone Class [email protected]: 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 ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

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 ...

Cybersecurity researchers have uncovered a new campaign in which the threat actors have published more than 67 GitHub repositories that claim to offer Python-based hacking tools, but deliver ...

Abstract: Oriented object detection in remote sensing images (RSIs) relies heavily on costly annotated data. To alleviate this challenge, we propose a straightforward yet powerful approach for ...