Abstract: Object detection refers to the identification of objects where the presence, location, and size are determined while putting on the corresponding class labels. Object detection is sensitive ...

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Everything changes with time. Some changes happen so rapidly — like 7 frames or more per second — that we perceive them as ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

By Atharva Agrawal Growing up in the Tiger Capital of India, Nagpur, a city surrounded by some of the country’s most eminent wildlife sanctuaries, including Pench National Park, Tadoba-Andhari, Kanha ...

AI is searching particle colliders for the unexpected ...

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 ...

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 ...

We propose a synthetic data generation and annotation framework that enables panoramic object detection using existing large-scale planar image datasets. Instead of relying solely on limited ...