Data engineer working on applied AI, data engineering, and production-grade ML systems with a focus on real-world deployment. Traffic violation detection is often presented as a simple computer vision ...

Diverse Domains Covered: Projects span NLP, vision, speech, and time-series. Tool-Centric Learning: Emphasis on libraries like TensorFlow, OpenCV, and Hugging Face. Practical and Scalable: Each task ...

Abstract: Lane detection is a critical component of Advanced Driver Assistance Systems (ADAS) aimed at improving road safety. This paper introduces a real-time lane detection system using computer ...

Use pytorch to implement a Deep Neural Network for real time lane detection mainly based on the IEEE IV conference paper "Towards End-to-End Lane Detection: an ...

Common pediatric distal forearm fractures necessitate precise detection. To support prompt treatment planning by clinicians, our study aimed to create a multi-class convolutional neural network (CNN) ...

Abstract: Lane detection is a critical task in autonomous driving that involves identifying the lane boundaries on the road. In this paper, we propose an image processing-based approach for lane ...