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(1) An optimized waste detection approach was designed based on YOLOv5 that provides higher detection accuracy for both general-sized waste and waste with a ...
Dec 11, 2022 · In order to solve the problem of low-accuracy image detection caused by irregular placement angles, in this work, we propose an improved ...
Abstract: Waste detection is one of the main problems preventing the realization of automated waste classification, which is a basic function for robotic ...
... In the paper "Improved Method for Oriented Waste Detection", Weizhi Yang, Yi Xie, and Peng Gao [10] investigated automated waste classification and image- ...
Automatic waste detection in natural environments exhibits a great potential to improve the efficiency and reduce the labor cost of waste management.
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Mar 31, 2023 · To address this issue, this paper designs a data enhancement method for expanding multi-objective waste images, which has a positive impact on ...
An object detection method based on an improved YOLOv5 model was proposed to enhance the accuracy of sorting construction waste. A construction waste image ...
Missing: Oriented | Show results with:Oriented
Apr 6, 2024 · This study aims to improve the performance of organic to recyclable waste through deep learning techniques.
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Sep 15, 2022 · This paper proposes an i-YOLOX model for domestic trash detection based on deep learning algorithms. First, a large number of real-life trash ...