That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...
As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler ...
This repository contains the code and models for object detection and tracking from the CMU DIVA system. Our system (INF & MUDSML) achieves the best performance on the ActEv leaderboard (Cached). If ...
Abstract: Spiking Neural Networks (SNNs) represent a biologically inspired paradigm offering an energy-efficient alternative to conventional artificial neural networks (ANNs) for Computer Vision (CV) ...
Attackers behind a self-propagating malware campaign targeting Brazilian financial institutions have accelerated and upgraded their malicious activity, using artificial intelligence (AI) to spawn a ...
This study introduces the first publicly available annotated intraoral image dataset for Artificial Intelligence (AI)-driven dental caries detection, addressing the lack of available datasets. It ...
In financial trading, identifying key market patterns is vital for making informed decisions. This Python code detects critical patterns such as head and shoulders, wedges, triangles, and channels ...
I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always ...
Abstract: This study focuses on enhancing the accuracy and efficiency of semantic analysis systems for recognizing moving objects within video sequences. The primary aim is to improve object detection ...
Railroad power transmission lines play a vital role in modern rail transportation systems, providing a stable and reliable channel for the transmission of power to trains 1,2. However, when power ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results