首页|Khwaja Yunus Ali University Researchers Update Knowledge of Machine Learning (WaterHyacinth: A comprehensive image dataset of various Water hyacinth species from different regions of Bangladesh)
Khwaja Yunus Ali University Researchers Update Knowledge of Machine Learning (WaterHyacinth: A comprehensive image dataset of various Water hyacinth species from different regions of Bangladesh)
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Elsevier
New research on artificial intelligence is the subject of a new report. According to news reporting originating from Khwaja Yunus Ali University by NewsRx correspondents, research stated, “The ‘WaterHyacinth’ dataset, a recently gathered collection of images featuring four distinct species of Water hyacinth from different regions of Bangladesh, is presented in this article.” Our news journalists obtained a quote from the research from Khwaja Yunus Ali University: “There are four different classifications: Lemna minor, Eichhornia crassipes, Monochoria korsakowii, and Pistia stratiotes. The collection consists of 1790 original images and in addition 4050 augmented photos of Water hyacinth species. Every original picture was captured with the appropriate background and in sufficient natural light. Every image was correctly placed in its corresponding subfolder, providing optimal use of the pictures by various machine learning and deep learning models. Researchers could make major progress in agriculture, environmental monitoring, aquatic science, and remote sensing domains by utilizing this enormous dataset and various machine learning and deep learning approaches.”
Khwaja Yunus Ali UniversityAsiaBangladeshCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
Elsevier
