相关数据集
Xpitfire/cmp_facade
我们介绍了在机器感知中心组装的立面图像数据集，该数据集包括606张来自不同来源的立面图像，这些图像已经过手动标注。这些立面图像来自世界各地的不同城市，具有多样化的建筑风格。数据集的来源、格式和处理方式，以及12个类别的标注原则在报告中有所说明。类别包括立面、模制、檐口、柱子、窗户、门、窗台、百叶窗、阳台、商店、装饰和背景。
Hugging Face2023-01-15 更新1330
Deep learning downscaled CMIP6 high-resolution (0.1°) daily near surface meteorological datasets over East Asia (ensemble mean)
Downscaling is a method to obtain high-resolution meteorological data. UNet, a great potential deep learning technology, is gaining popularity in downscaling. Based on 19 models from the Coupled Model
DataCite Commons2025-04-27 更新610
Table_1_Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion.XLSX
Protective coatings based on two dimensional materials such as graphene have gained traction for diverse applications. Their impermeability, inertness, excellent bonding with metals, and amenability t
frontiersin.figshare.com2023-06-21 更新190
Boats on Nordelbe Kehrwieder (BONK-Pose)
BONK-Pose数据集是一组用于船只检测和6D姿态估计的图像数据，包含3753张由易北河拍摄的RGB图像，以及相应的AIS消息和3D边界框注释。该数据集由汉堡大学计算机视觉组创建，旨在解决仅依靠AIS数据进行定位的局限性，通过将单目RGB图像与AIS数据进行融合，生成3D边界框，以表示船只的6D姿态。数据集可用于训练和评估6D姿态估计网络，有助于提高水上交通管理的效率和安全性。
arXiv2025-08-20 更新640
Football Players Detection
Detect football players using labeled images for computer vision tasks
kaggle2025-06-30 更新240
