The growing global population and rising concerns about food security highlight the critical need for intelligent agriculture. Among various technologies, plant disease detection is vital but faces ...

Abstract: Object detection is the identification and pinpointing of the exact location of objects that belong to particular categories inside an image. However, insufficient annotated data in ...

This project implements road lane detection using a U-Net deep learning architecture. It provides training code, prediction outputs, and an interactive Gradio UI for ...

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 ...

State Key Laboratory of Marine Food Processing and Safety Control, Dalian Polytechnic University, Dalian 116034, Liaoning, China College of Food Science and Technology, Huazhong Agricultural ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

Description: I have created a machine learning model for object detection using ML.net Model Builder (MLModel1.zip). The model was successfully tested using the automatically generated project by ...

Abstract: In practical application scenarios, the objects to be detected are characterized by a large number, irregular shape, non-uniform size and dense distribution, etc. Traditional object ...