HNTS-MRG 2024|癌症放射治疗数据集|医学影像分析数据集
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- 1Overview of the Head and Neck Tumor Segmentation for Magnetic Resonance Guided Applications (HNTS-MRG) 2024 Challenge德克萨斯大学MD安德森癌症中心 · 2024年
山东省民用爆炸物品销售许可信息
山东省民用爆炸物品销售许可信息,起止时间:2021年至今
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PURPLE_BOXv10
该数据集为HuggingFace LeRobot格式机器人数据集。
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医保社区护士备案管理
医保社区护士备案管理
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兽药经营许可证核发信息
该目录主要描述兽药经营许可证核发信息,包含发证时间、企业名称、许可内容、发证机关、地址、法定代表人(负责人)姓名、有效期、编号等信息项
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KITTI
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving. It consists of hours of traffic scenarios recorded with a variety of sensor modalities, including high-resolution RGB, grayscale stereo cameras, and a 3D laser scanner. Despite its popularity, the dataset itself does not contain ground truth for semantic segmentation. However, various researchers have manually annotated parts of the dataset to fit their necessities. Álvarez et al. generated ground truth for 323 images from the road detection challenge with three classes: road, vertical, and sky. Zhang et al. annotated 252 (140 for training and 112 for testing) acquisitions – RGB and Velodyne scans – from the tracking challenge for ten object categories: building, sky, road, vegetation, sidewalk, car, pedestrian, cyclist, sign/pole, and fence. Ros et al. labeled 170 training images and 46 testing images (from the visual odome
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