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 ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
Enhancing Fisheye Object Detection Using Frequency-Domain Attention and Dual Aggregation Transformer
Abstract: This paper presents a comprehensive evaluation of multiple YOLO (You Only Look Once) model variants for object detection in fisheye lens images, specifically utilizing the FishEye8K dataset.
The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...
Abstract: Marine object detection plays a crucial role in various applications such as collision avoidance and autonomous navigation in maritime environments. While most existing datasets focus on 2D ...
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 ...
This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...
The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...
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