垃圾桶溢满数据集。目标检测的数据集。三类:垃圾、溢满的垃圾桶、未溢满的垃圾桶。 分为训练集、验证集、测试集,训练集2679张图片,验证集502张图片,测试集168张图片。数据集标注准确 标准的yolo格式的数据集,包含类别标签文件,可以直接用于训练模型 ...
Hello everyone. This is Kokichi. Until yesterday, I was talking about topics closer to manufacturing and infrastructure, such as "facility management." Starting today, we will move on to much more ...
Hello everyone. This is Kokichi. Starting today, we will begin the second part of our practical examples series, learning about deep learning application cases in the mobility sector! When we think of ...
Abstract: In recent years, deep learning algorithms have been developed rapidly, and they are becoming a powerful tool in biomedical engineering. Especially, there has been an increasing focus on the ...
Abstract: In this paper, a new deep learning-based cyber-security scheme is proposed to detect PMU data manipulation attacks and to recover the corrupted measurements. The scheme consists of two deep ...
dDepartment of Ophthalmology and Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore ...
It also introduces the application status of model interpretability techniques such as Grad-CAM and SHAP. On this basis, this paper summarizes the bottlenecks of current research in data heterogeneity ...
Noise is a fundamental component of confocal images, a result of discreet digital sampling of continuously emitting photons from samples. The contribution of noise to image quality (signal-to-noise ...
Most working professionals already understand that AI skills are no longer optional they are a career necessity.
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Abstract The integration of deep learning with tumour radiomics represents a significant advance in precision oncology, offering a powerful alternative to traditional radiomics that relies on manually ...
Seeking to empower smallholder farmers, an Asia Pacific University of Technology & Innovation (APU) duo devised a solution ...
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