湛江市赤坎区地区生产总值和规上工业增加值数据|经济数据分析数据集|工业经济数据集
收藏WLASL, MSASL, NMFs-CSL, SLR500, Slovo, BOBSL, 27 Class Sign Language Dataset, AUTSL, BosphorusSign22k, GSL, LSA16, LSA64, Rendered Handpose Dataset, YouTube-ASL, LSFB-ISOL, ASLLVD, AASL, KArSL, BdSLImset, HaGRID, Phoenix-2014, Phoenix-2014T
该仓库收集了多种与手语识别和翻译相关的数据集,旨在为研究者、开发者和爱好者提供一个集中的资源。数据集包括不同类型(如RGB、深度、骨骼)和来自不同国家的数据,用于支持手语识别和翻译技术的研究。
github 收录
FER2013
FER2013数据集是一个广泛用于面部表情识别领域的数据集,包含28,709个训练样本和7,178个测试样本。图像属性为48x48像素,标签包括愤怒、厌恶、恐惧、快乐、悲伤、惊讶和中性。
github 收录
Natural Scene Braille Character Recognition Dataset
There are a total of 1157 Braille segment images in this dataset, including 925 in the training set and 232 in the testing set. There are two folders in the directory of this dataset: character_label and segment_label. The character_rabel file contains three formats of Braille segment images: (1) Braille segment images and label files stored in ICDAR-2015 format, each. jpg file corresponds to a. txt file, where each line stores the position and recognition label of a braille character rectangle box. The data corresponds to the coordinates of the four points in the rectangle box and the recognized numerical label; (2) The original format of the data is stored in the folder org. Each .jpg file in this folder corresponds to a .json file which marked by labelme software; (3) VOC format, stored in voc-data folder. This folder stores images and corresponding .xml files in VOC format, and marks the position of each braille character rectangle box and its corresponding numerical label information in the .xml file. In addition, the original Braille images of natural scenes and the corresponding Braille segment markings .json files are stored in the folder segment_label.
DataCite Commons 收录
Breast Cancer Dataset
该项目专注于清理和转换一个乳腺癌数据集,该数据集最初由卢布尔雅那大学医学中心肿瘤研究所获得。目标是通过应用各种数据转换技术(如分类、编码和二值化)来创建一个可以由数据科学团队用于未来分析的精炼数据集。
github 收录
LIDC-IDRI
LIDC-IDRI 数据集包含来自四位经验丰富的胸部放射科医师的病变注释。 LIDC-IDRI 包含来自 1010 名肺部患者的 1018 份低剂量肺部 CT。
OpenDataLab 收录