A real-time rural domestic garbage detection algorithm with an improved YOLOv5s network model
X Jiang, H Hu, Y Qin, Y Hu, R Ding - Scientific Reports, 2022 - nature.com
An increasing number of researchers are using deep learning technology to classify and
process garbage in rural areas, and have achieved certain results. However, the existing …
process garbage in rural areas, and have achieved certain results. However, the existing …
A review of computer vision applications in litter and cleanliness monitoring
A Kumar, LBN Sudarshan, A Kumar… - Proceedings of the …, 2024 - icevirtuallibrary.com
Municipal solid waste management struggles with manual processes, affecting data
accuracy and street cleanliness monitoring. Recent research highlights computer vision as a …
accuracy and street cleanliness monitoring. Recent research highlights computer vision as a …
[HTML][HTML] A water surface garbage recognition method based on transfer learning and image enhancement
Z Junzhe, J Fuqiang, C Yupeng, W Weiyi, W Qing - Results in Engineering, 2023 - Elsevier
In this paper, we propose a solution to the escalating issue of water pollution caused by
garbage in rivers, reservoirs, and oceans. We introduce the implementation of the You Only …
garbage in rivers, reservoirs, and oceans. We introduce the implementation of the You Only …
[HTML][HTML] Object Detection Algorithms to Identify Skeletal Components in Carbonate Cores
Identification of constituent grains in carbonate rocks requires specialist experience. A
carbonate sedimentologist must be able to distinguish between skeletal grains that change …
carbonate sedimentologist must be able to distinguish between skeletal grains that change …
Road garbage classification using ResNet50
Nowadays managing the road garbage is essential. The waste disposal leads to pollution,
climate change, water contamination etc. The major issue which is unresolved is dealing …
climate change, water contamination etc. The major issue which is unresolved is dealing …
A Recyclable Waste Image Recognition System with YOLOv8 for Children's Environmental Education
Rapid economic growth and increasing urban population have led to a significant increase
in waste production, raising serious concerns for countries worldwide. As the population …
in waste production, raising serious concerns for countries worldwide. As the population …
[PDF][PDF] Leboh 2: An Android Application for Solid Waste Detection
Garbage or waste will be a serious problem if they are not managed properly. Sorting
garbage is necessary before putting them in the bins. This paper develops an Android …
garbage is necessary before putting them in the bins. This paper develops an Android …
Plastic Waste Identification using ResNet-50: A Deep Learning Approach
Plastic waste is a significant environmental concern, constituting a major portion of the
global waste stream. Improper disposal and accumulation have led to severe environmental …
global waste stream. Improper disposal and accumulation have led to severe environmental …
Comparative Study of ML Algorithms for Garbage Classification
SJ Buchade, S Bhoite - 2024 - researchsquare.com
In today's world, the escalating waste crisis demands effective garbage classification
strategies. As population growth and evolving needs contribute to unprecedented waste …
strategies. As population growth and evolving needs contribute to unprecedented waste …