【机器学习-公开数据集免费下载】
时间：2023-08-27 14:07:00
下载智星云公开数据集
免费下载公共数据集
智星云提供免费下载公开数据集，方便深度学习用户。
下载数据集下载地址：
浏览器登录：http://datasets.blockelite.cn
FTP登陆：ftp://datasets.blockelite.cn ，建议使用filezilla下载，匿名登录，可以输入用户名anonymous，无需输入密码。
下载命令行，请参考下面的命令行
如果您需要的公共数据集不在上述列表中，请联系客户服务部添加。现有数据集列表：
| 数据集名称 | 数据集大小 | 数据集简介 | |
|---|---|---|---|
| 01.DIV2K | 7.2G | DIV2K 数据集：DIVerse 2K 用于处理高质量的分辨率图像 NTIRE（CVPR 2017 和 CVPR 2018）和 @ PIRM （ECCV 2018） 的挑战 | |
| DIV2K.tar | 7.2G | 下载命令行：wget http://datasets.blockelite.cn/01.DIV2K/DIV2K.tar | |
| 02.Flickr2K | 21G | 超分辨图像重建 | |
| Flickr2K.tar | 21G | 下载命令行：wget http://datasets.blockelite.cn/02.Flickr2K/Flickr2K.tar | |
| 03.VOC_2012 | 3.6G | 标签数据主要用于监督和学习视觉任务 | |
| VOC2012test.tar | 1.8G | 下载命令行：wget http://datasets.blockelite.cn/03.VOC_2012/VOC2012test.tar | |
| VOCtrainval_11-May-2012.tar | 1.9G | 下载命令行：wget http://datasets.blockelite.cn/03.VOC_2012/VOCtrainval_11-May-2012.tar | |
| 04.VOC_2007 | 869M | 标签数据主要用于监督和学习视觉任务 | |
| 04.VOCtest_06-Nov-2007.tar | 431M | 下载命令行：wget http://datasets.blockelite.cn/04.VOC_2007/VOCtest_06-Nov-2007.tar | |
| 04.VOCtest_06-Nov-2007.tar | 439M | 下载命令行：wget http://datasets.blockelite.cn/04.VOC_2007/VOCtrainval_06-Nov-2007.tar | |
| 05.DeepLesion | 222G | 最大开源临床医疗图像数据集 | |
| Images_png_01.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion//Images_png_01.zip | |
| Images_png_02.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_02.zip | |
| Images_png_03.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_03.zip | |
| Images_png_04.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_04.zip | |
| Images_png_05.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_05.zip | |
| Images_png_06.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_06.zip | |
| Images_png_07.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_07.zip | |
| Images_png_08.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_08.zip | |
| Images_png_09.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_09.zip | |
| Images_png_10.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_10.zip | |
| Images_png_11.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_10.zip | |
| Images_png_12.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_12.zip | |
| Images_png_13.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_13.zip | |
| Images_png_14.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_14.zip | |
| Images_png_15.zip | 4.1G | 下载命令行：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_15.zip | |
| Images_png_16.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_16.zip | |
| Images_png_17.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_17.zip | |
| Images_png_18.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_18.zip | |
| Images_png_19.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_19.zip | |
| Images_png_20.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_20.zip | |
| Images_png_21.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_21.zip | |
| Images_png_22.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_22.zip | |
| Images_png_23.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_23.zip | |
| Images_png_24.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_24.zip | |
| Images_png_25.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_25.zip | |
| Images_png_26.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png26.zip | |
| Images_png_27.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_27.zip | |
| Images_png_28.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_28.zip | |
| Images_png_29.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_29.zip | |
| Images_png_30.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_30.zip | |
| Images_png_31.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_31.zip | |
| Images_png_32.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_32zip | |
| Images_png_33.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_33.zip | |
| Images_png_34.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_34.zip | |
| Images_png_35.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_35.zip | |
| Images_png_36.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_36.zip | |
| Images_png_37.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_37.zip | |
| Images_png_38.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_38.zip | |
| Images_png_39.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_39.zip | |
| Images_png_40.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_40.zip | |
| Images_png_41.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_41.zip | |
| Images_png_42.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_42.zip | |
| Images_png_43.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_43.zip | |
| Images_png_44.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_44.zip | |
| Images_png_37.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_37.zip | |
| Images_png_38.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_38.zip | |
| Images_png_39.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_39.zip | |
| Images_png_40.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_40.zip | |
| Images_png_41.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_41.zip | |
| Images_png_42.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_42.zip | |
| Images_png_43.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_43.zip | |
| Images_png_44.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_44.zip | |
| Images_png_45.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_45.zip | |
| Images_png_46.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_46.zip | |
| Images_png_47.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_47.zip | |
| Images_png_48.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_48.zip | |
| Images_png_49.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_49.zip | |
| Images_png_50.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_50.zip | |
| Images_png_51.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_51.zip | |
| Images_png_52.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_52.zip | |
| Images_png_53.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_53.zip | |
| Images_png_54.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_54.zip | |
| Images_png_55.zip | 4.1G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_55.zip | |
| Images_png_56.zip | 1.2G | 命令行下载：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_56.zip | |
| 06.ImageNet_2012 | 145G | 2012年图像网大规模视觉识别挑战 | |
| ILSVRC2012_img_train.tar | 138G | 命令行下载：wget http://datasets.blockelite.cn/06.ImageNet_2012/ILSVRC2012_img_train.tar | |
| ILSVRC2012_img_val.tar | 6.3G | 命令行下载：wget http://datasets.blockelite.cn/06.ImageNet_2012/ILSVRC2012_img_val.tar | |
| 07.CrowdHuman | 14G | 旷世发布的用于行人检测的数据集，图片数据大多来自于google搜索 | |
| annotation_train.odgt | 77M | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/annotation_train.odgt | |
| annotation_val.odgt | 23M | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/annotation_val.odgt | |
| CrowdHuman_test.zip | 3.1G | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_test.zip | |
| CrowdHuman_train01.zip | 2.8G | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train01.zip | |
| CrowdHuman_train02.zip | 2.9G | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train02.zip | |
| CrowdHuman_train03.zip | 2.2G | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train03.zip | |
| CrowdHuman_val.zip | 2.4G | 命令行下载：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_val.zip | |
| 08.Market-1501 | 1G | 行人重识别 | |
| distractors_500k.zip | 1016M | 命令行下载：wget http://datasets.blockelite.cn08.Market-1501/distractors_500k.zip | |
| 09.OpenSLR_12 | 58G | 语音识别 | |
| cifar-10-python.tar.gz | 163M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/cifar-10-python.tar.gz | |
| dev-clean.tar.gz | 323M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/dev-clean.tar.gz | |
| dev-other.tar.gz | 300M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/dev-other.tar.gz | |
| original-books.tar.gz | 284M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/original-books.tar.gz | |
| raw-metadata.tar.gz | 32M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/raw-metadata.tar.gz | |
| test-clean.tar.gz | 331M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/test-clean.tar.gz | |
| test-other.tar.gz | 314M | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/test-other.tar.gz | |
| train-clean-100.tar.gz | 6.0G | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/train-clean-100.tar.gz | |
| train-clean-360.tar.gz | 22G | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/train-clean-360.tar.gz | |
| train-other-500.tar.gz | 29G | 命令行下载：wget http://datasets.blockelite.cn/09.OpenSLR_12/train-other-500.tar.gz | |
| 10.OpenSLR_11 | 5.2G | 语音识别 | |
| 3-gram.arpa.gz | 725M | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/train-other-500.tar.gz | |
| 3-gram.pruned.1e-7.arpa.gz | 33M | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/3-gram.pruned.1e-7.arpa.gz | |
| 3-gram.pruned.3e-7.arpa.gz | 14M | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/3-gram.pruned.3e-7.arpa.gz | |
| 4-gram.arpa.gz | 1.3G | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/4-gram.arpa.gz | |
| librispeech-lexicon.txt | 5.4M | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lexicon.txt | |
| librispeech-lm-corpus.tgz | 1.7G | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lm-corpus.tgz | |
| librispeech-lm-norm.txt.gz | 1.5G | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lm-norm.txt.gz | |
| librispeech-vocab.txt | 1.7M | 命令行下载：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-vocab.txt | |
| 11.Cityscapes | 415G | 包含大量街道图片、视频用来训练识别的数据集。 | |
| camera_trainextra.zip | 7.8M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/camera_trainextra.zip | |
| camera_trainvaltest.zip | 1.9M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/camera_trainvaltest.zip | |
| disparity_trainextra.zip | 15G | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/disparity_trainextra.zip | |
| disparity_trainvaltest.zip | 3.6G | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/disparity_trainvaltest.zip | |
| gtCoarse.zip | 1.3G | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/gtCoarse.zip | |
| gtFine_trainvaltest.zip | 241M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/gtFine_trainvaltest.zip | |
| leftImg8bit_blurred.zip | 11G | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_blurred.zip | |
| leftImg8bit_demoVideo.zip | 7.7M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_demoVideo.zip | |
| leftImg8bit_sequence_trainvaltest.zip | 1.9M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_sequence_trainvaltest.zip | |
| leftImg8bit_trainextra.zip | 1.6M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_trainextra.zip | |
| leftImg8bit_trainvaltest.zip | 8.0K | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_trainvaltest.zip | |
| vehicle_trainextra.zip | 9.5M | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/vehicle_trainextra.zip | |
| vehicle_trainvaltest.zip | 32K | 命令行下载：wget http://datasets.blockelite.cn/11.Cityscapes/vehicle_trainvaltest.zip | |
| 12.mnist | 12M | 提供灰度手写数字图片 | |
| t10k-images-idx3-ubyte.gz | 1.6M | 命令行下载：wget http://datasets.blockelite.cn/12.mnist/t10k-images-idx3-ubyte.gz | |
| t10k-labels-idx1-ubyte.gz | 8.0K | 命令行下载：wget http://datasets.blockelite.cn/12.mnist/t10k-labels-idx1-ubyte.gz | |
| train-images-idx3-ubyte.gz | 9.5M | 命令行下载：wget http://datasets.blockelite.cn/12.mnist/train-images-idx3-ubyte.gz | |
| train-labels-idx1-ubyte.gz | 32K | 命令行下载：wget http://datasets.blockelite.cn/12.mnist/train-labels-idx1-ubyte.gz | |
| 13.CUB_200_2011 | 1.1G | 鸟类数据集 | |
| CUB_200_2011.tgz | 1.1G | 命令行下载：wget http://datasets.blockelite.cn/13.CUB_200_2011/CUB_200_2011.tgz | |
| 14.vision.standford | 2.8G | ||
| ImageNetDogs | 2.8G | 命令行下载：wget http://datasets.blockelite.cn/14.vision.standford/ImageNetDogs | |
| 15.LUNA16 | 47G | ||
| CSVFILES.rar | 9.4M | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/CSVFILES.rar | |
| seg-lungs-LUNA16.rar | 277M | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/seg-lungs-LUNA16.rar | |
| subset0.rar | 5.0G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset0.rar | |
| subset1.rar | 4.6G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset1.rar | |
| subset2.rar | 3.3G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset2.rar | |
| subset3.rar | 5.1G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset3.rar | |
| subset4.rar | 5.0G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset4.rar | |
| subset5.rar | 4.9G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset5.rar | |
| subset6.rar | 4.8G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset6.rar | |
| subset7.rar | 4.6G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset7.rar | |
| subset8.rar | 4.5G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset8.rar | |
| subset9.rar | 4.9G | 命令行下载：wget http://datasets.blockelite.cn/15.LUNA16/subset9.rar | |
| 16.HIE | 1.4G | LUNA16数据集是最大公用肺结节数据集LIDC-IDRI的子集，LIDC-IDRI它包括1018个低剂量的肺部CT影像。LIDC-IDRI删除了切片厚度大于3mm和肺结节小于3mm的CT影像，剩下的就是LUNA16数据集了 | |
| HIE20labels.zip | 125M | 命令行下载：wget http://datasets.blockelite.cn/16.HIE/HIE20labels.zip | |
| HIE20.zip | 1.2G | 命令行下载：wget http://datasets.blockelite.cn/16.HIE/HIE20.zip | |
| 17.DOTA | 19G | 目标检测数据集，大量航拍图片 | |
| test.zip | 6.3G | 命令行下载：wget http://datasets.blockelite.cn/17.DOTA/test.zip | |
| train.zip | 9.6G | 命令行下载：wget http://datasets.blockelite.cn/17.DOTA/train.zip | |
| val.zip | 3.2G | 命令行下载：wget http://datasets.blockelite.cn/17.DOTA/val.zip | |
| 18.COCO_2014 | 26G | 微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 | |
| annotations_trainval2014.zip | 242M | 命令行下载：wget http://datasets.blockelite.cn/18.COCO_2014/annotations_trainval2014.zip | |
| image_info_test2014.zip | 748K | 命令行下载：wget http://datasets.blockelite.cn/18.COCO_2014/image_info_test2014.zip | |
| test2014.zip | 6.3G | 命令行下载：wget http://datasets.blockelite.cn/18.COCO_2014/test2014.zip | |
| train2014.zip | 13G | 命令行下载：wget http://datasets.blockelite.cn/18.COCO_2014/train2014.zip | |
| val2014.zip | 6.2G | 命令行下载：wget http://datasets.blockelite.cn/18.COCO_2014/val2014.zip | |
| 19.COCO_2015 | 13G | 微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 | |
| image_info_test2015.zip | 1.9M | 命令行下载：wget http://datasets.blockelite.cn/19.COCO_2015/image_info_test2015.zip | |
| test2015.zip | 13G | 命令行下载：wget http://datasets.blockelite.cn/19.COCO_2015/test2015.zip | |
| 20.COCO_2017 | 28G | 微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 | |
| annotations_trainval2017.zip | 242M | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/annotations_trainval2017.zip | |
| image_info_test2017.zip | 1.1M | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/image_info_test2017.zip | |
| image_info_unlabeled2017.zip | 4.7M | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/image_info_unlabeled2017.zip | |
| panoptic_annotations_trainval2017.zip | 821M | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/panoptic_annotations_trainval2017.zip | |
| stuff_annotations_trainval2017.zip | 1.1G | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/stuff_annotations_trainval2017.zip | |
| test2017.zip | 6.2G | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/test2017.zip | |
| train2017.zip | 19G | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/train2017.zip | |
| val2017.zip | 778M | 命令行下载：wget http://datasets.blockelite.cn/20.COCO_2017/val2017.zip | |
| 21.sceneflow | 180G | 所有的数据都是960x540分辨率的立体图片 | |
| driving_disparity.tgz | 9.2G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/driving_disparity.tgz | |
| driving__frames_cleanpass.tar | 6.3G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/driving__frames_cleanpass.tar | |
| flyingthings3d__disparity.tar.bz2a | 19G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2a | |
| flyingthings3d__disparity.tar.bz2b | 19G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2b | |
| flyingthings3d__disparity.tar.bz2c | 19G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2c | |
| flyingthings3d__disparity.tar.bz2d | 19G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2d | |
| flyingthings3d__disparity.tar.bz2e | 13G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2e | |
| flyingthings3d__frames_cleanpass.taraa | 9.8G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.taraa | |
| flyingthings3d__frames_cleanpass.tarab | 9.8G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarab | |
| flyingthings3d__frames_cleanpass.tarac | 9.8G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarac | |
| flyingthings3d__frames_cleanpass.tarad | 7.5G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarad | |
| kitti.zip | 3.5G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/kitti.zip | |
| monkaa__disparity.tar.bz2a | 15G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/monkaa__disparity.tar.bz2a | |
| monkaa__disparity.tar.bz2b | 14G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/monkaa__disparity.tar.bz2b | |
| monkaa__frames_cleanpass.tar | 9.1G | 命令行下载：wget http://datasets.blockelite.cn/21.sceneflow/monkaa__frames_cleanpass.tar | |
| 22.ADEChallenge | 923M | 细粒度用户评论情感分析数据集 | |
| ADEChallengeData2016.zip | 923M | 命令行下载：wget http://datasets.blockelite.cn/22.ADEChallenge/ADEChallengeData2016.zip | |
| 22.AI_challenge | 22G | 细粒度用户评论情感分析数据集 | |
| ai_challenger_keypoint_test_a_20180103.zip | 2.0G | 命令行下载：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_test_a_20180103.zip | |
| ai_challenger_keypoint_test_b_20180103.zip | 2.0G | 命令行下载：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_test_b_20180103.zip | |
| ai_challenger_keypoint_train_20170902.zip | 15G | 命令行下载：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_train_20170902.zip | |
| ai_challenger_keypoint_train_annotations_20170909.zip | 117M | 命令行下载：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_train_annotations_20170909.zip | |
| ai_challenger_keypoint_validation_20170911.zip | 2.3G | 命令行下载：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_validation_20170911.zip | |
| h36m.zip | 248M | 命令行下载：wget http://datasets.blockelite.cn/22.AI_challenge/h36m.zip | |
| 23.KITTI | 599G | KITTI主要是针对自动驾驶领域的图像处理技术，主要应用在自动驾驶感知和预测方面，其中也涉及定位和SLAM技术 | |
| kitti_data.zip | 162G | 命令行下载：wget http://datasets.blockelite.cn/23.KITTI/kitti_data.zip | |
| KITTI.zip | 437G | 命令行下载：wget http://datasets.blockelite.cn/23.KITTI/KITTI.zip | |
| 24.cifar-10 | 163M | CIFAR-10是一个更接近普适物体的彩色图像数据集 | |
| cifar-10-python.tar.gz | 163M | 命令行下载：wget http://datasets.blockelite.cn/24.cifar-10/cifar-10-python.tar.gz | |
| 25.Places | 127G | 场景识别数据集 | |
| test_large.tar | 20G | 命令行下载：wget http://datasets.blockelite.cn/25.Places/test_large.tar | |
| train_large_places365standard.tar | 105G | 命令行下载：wget http://datasets.blockelite.cn/25.Places/train_large_places365standard.tar | |
| val_large.tar | 2.2G | 命令行下载：wget http://datasets.blockelite.cn/25.Places/val_large.tar | |
| 26.img_align_celeba | 1.4G | 人脸数据集 | |
| img_align_celeba.zip | 1.4G | 命令行下载：wget http://datasets.blockelite.cn/26.img_align_celeba/img_align_celeba.zip | |
| 27.MATLAB | 12G | ||
| MATLAB.tar | 12G | 命令行下载：wget http://datasets.blockelite.cn/27.MATLAB/MATLAB.tar | |
| 28.mpii_human_pose_v1 | 12G | 人体姿势估计数据集 | |
| mpii_human_pose_v1.tar.gz | 12G | 命令行下载：wget http://datasets.blockelite.cn/28.mpii_human_pose_v1/mpii_human_pose_v1.tar.gz | |
| 29.Kinetics-400 | 132G | 包括了四百种的人体动作类别 | |
| label.zip | 23M | 命令行下载：wget http://datasets.blockelite.cn/29.Kinetics-400/label.zip | |
| raw-part.zip | 132G | 命令行下载：wget http://datasets.blockelite.cn/29.Kinetics-400/raw-part.zip | |
| 30.something-somethingV2 | 19G | 大型的带有标签的记录了人类与日常生活中的一些物体之间的动作数据集 | |
| 20bn-something-something-v2.tar.gz | 19G | 命令行下载：wget http://datasets.blockelite.cn/30.something-somethingV2/20bn-something-something-v2.tar.gz | |
| something-something-v2-labels.json | 12K | 命令行下载：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-labels.json | |
| something-something-v2-test.json | 440K | 命令行下载：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-test.json | |
| something-something-v2-train.json | 25M | 命令行下载：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-train.json | |
| something-something-v2-validation.json | 3.6M | 命令行下载：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-validation.json | |
| 32.somethingsomethingV1 | 24G | 大型的带有标签的记录了人类与日常生活中的一些物体之间的动作数据集 | |
| 20bn-something-something-v1.tar.gz | 954M | 命令行下载：wget http://datasets.blockelite.cn/32.somethingsomethingV1/20bn-something-something-v1-00.tar.gz | |
| something-something-v1-labels.csv | 8.0K | 命令行下载：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-labels.csv | |
| something-something-v1-test.csv | 72K | 命令行下载：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-test.csv | |
| something-something-v1-train.csv | 4.0M | 命令行下载：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-train.csv | |
| something-something-v1-validation.csv | 520K | 命令行下载：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-validation.csv | |
| 33.coco_2018 | 89G | 微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 | |
| 2018-04-27_bottom-up-attention_fixed_36.zip | 58G | 命令行下载：wget http://datasets.blockelite.cn/33.coco_2018/2018-04-27_bottom-up-attention_fixed_36.zip | |
| 2018-04-27_bottom-up-attention_fixed_36-small.zip | 31G | 命令行下载：wget http://datasets.blockelite.cn/33.coco_2018/2018-04-27_bottom-up-attention_fixed_36-small.zip | |
| 34.LUSN | 157G | LSUNDataset是一个大规模图像数据集，其基于人类在循环中进行深度学习的构建，包含10个场景类别和20个对象类别，共计约100万张标记图像 | |
| bedroom.zip | 43G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/bedroom.zip | |
| bridge.zip | 16G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/bridge.zip | |
| church_outdoor.zip | 2.3G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/church_outdoor.zip | |
| classroom.zip | 3.1G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/classroom.zip | |
| conference_room.zip | 3.8G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/conference_room.zip | |
| dining_room.zip | 11G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/dining_room.zip | |
| kitchen.zip | 34G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/kitchen.zip | |
| living_room.zip | 22G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/living_room.zip | |
| restaurant.zip | 13G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/restaurant.zip | |
| tower.zip | 12G | 命令行下载：wget http://datasets.blockelite.cn/34.LUSN/tower.zip | |
| 35.iccv-workshop | 32G | ||
| Label.tar | 924K | 命令行下载：wget http://datasets.blockelite.cn/35.iccv-workshop/Label.tar | |
| Test.tar | 9.5G | 命令行下载：wget http://datasets.blockelite.cn/35.iccv-workshop/Test.tar | |
| Train.tar | 19G | 命令行下载：wget http://datasets.blockelite.cn/35.iccv-workshop/Train.tar | |
| Val.tar | 3.2G | 命令行下载：wget http://datasets.blockelite.cn/35.iccv-workshop/Val.tar | |
| 36.multicoil_challenge | 56G | ||
| brain_multicoil_challenge.tar.gz | 37G | 命令行下载：wget http://datasets.blockelite.cn/36.multicoil_challenge/brain_multicoil_challenge.tar.gz | |
| transfer_42953_files_f8be9cd5.zip | 19G | 命令行下载：wget http://datasets.blockelite.cn/36.multicoil_challenge/transfer_42953_files_f8be9cd5.zip | |
| 37.human3.6m | 26G | 3D人体姿态估计 | |
| h36m_annot.tar | 349M | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/h36m_annot.tar | |
| S11.tar | 2.7G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S11.tar | |
| S1.tar | 3.0G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S1.tar | |
| S5.tar | 4.8G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S5.tar | |
| S6.tar | 3.1G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S6.tar | |
| S7.tar | 4.9G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S7.tar | |
| S8.tar | 3.2G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S8.tar | |
| S9.tar | 3.8G | 命令行下载：wget http://datasets.blockelite.cn/37.human3.6m/S9.tar | |
| 38.gat5 | 58G | 深度学习与自动驾驶领域的数据集 | |
| 01_images.zip | 5.8G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/01_images.zip | |
| 01_labels.zip | 70M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/01_labels.zip | |
| 02_images.zip | 5.8G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/02_images.zip | |
| 02_labels.zip | 72M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/02_labels.zip | |
| 03_images.zip | 5.8G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/03_images.zip | |
| 03_labels.zip | 68M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/03_labels.zip | |
| 04_images.zip | 5.6G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/04_images.zip | |
| 04_labels.zip | 69M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/04_labels.zip | |
| 05_images.zip | 5.7G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/05_images.zip | |
| 05_labels.zip | 77M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/05_labels.zip | |
| 06_images.zip | 5.4G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/06_images.zip | |
| 06_labels.zip | 70M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/06_labels.zip | |
| 07_images.zip | 5.7G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/07_images.zip | |
| 07_labels.zip | 71M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/07_labels.zip | |
| 08_images.zip | 6.0G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/08_images.zip | |
| 08_labels.zip | 71M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/08_labels.zip | |
| 09_images.zip | 5.8G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/09_images.zip | |
| 09_labels.zip | 72M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/09_labels.zip | |
| 10_images.zip | 5.4G | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/10_images.zip | |
| 10_labels.zip | 69M | 命令行下载：wget http://datasets.blockelite.cn/38.gat5/10_labels.zip | |
| 39.sceneflow | 219G | ||
| Driving.tar | 24G | 命令行下载：wget http://datasets.blockelite.cn/39.sceneflow/Driving.tar | |
| FlyingThings3D.tar | 146G | 命令行下载：wget http://datasets.blockelite.cn/39.sceneflow/FlyingThings3D.tar | |
| Monkaa.tar | 50G | 命令行下载：wget http://datasets.blockelite.cn/39.sceneflow/Monkaa.tar | |
| 40.ntu-rgb+d60_skeleton | 5.8G | 数据集提供了60种动作，3种拍摄角度，多种互动场景和多种演员设置（年龄、性别覆盖比较全面），同一动作可能重复表演（站姿，坐姿） | |
| nturgbd_skeletons_s001_to_s017.zip | 5.8G | 命令行下载：wget http://datasets.blockelite.cn/40.ntu-rgb+d60_skeleton/nturgbd_skeletons_s001_to_s017.zip | |
| 41.urban3D | 18G | 城市规模点云数据集 | |
| data_release.zip | 18G | 命令行下载：wget http://datasets.blockelite.cn/41.urban3D/data_release.zip | |
| 42.Tencent_AILab_ChineseEmbedding | 6.4G | 腾讯开源词向量 | |
| Tencent_AILab_ChineseEmbedding.tar.gz | 6.4G | 命令行下载：wget http://datasets.blockelite.cn/42.Tencent_AILab_ChineseEmbedding/Tencent_AILab_ChineseEmbedding.tar.gz | |
| 43.nuScenes | 195G | 是自动驾驶公司nuTonomy建立的大规模自动驾驶数据集，该数据集不仅包含了Camera和Lidar，还记录了雷达数据 | |
| v1.0-mini.tar | 3.9G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-mini.tar | |
| v1.0-test_blobs_lidar.tgz | 23G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-test_blobs_lidar.tgz | |
| v1.0-test_meta.tgz | 68M | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-test_meta.tgz | |
| v1.0-trainval01_blobs_lidar.tgz | 13G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval01_blobs_lidar.tgz | |
| v1.0-trainval01_keyframes.tar | 4.3G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval01_keyframes.tar | |
| v1.0-trainval02_blobs_lidar.tgz | 13G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval02_blobs_lidar.tgz | |
| v1.0-trainval02_keyframes.tar | 4.0G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval02_keyframes.tar | |
| v1.0-trainval03_blobs_lidar.tgz | 13G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval03_blobs_lidar.tgz | |
| v1.0-trainval03_keyframes.tgz | 4.0G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval03_keyframes.tgz | |
| v1.0-trainval04_blobs_lidar.tgz | 14G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval04_blobs_lidar.tgz | |
| v1.0-trainval04_keyframes.tgz | 4.3G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval04_keyframes.tgz | |
| v1.0-trainval05_blobs_lidar.tgz | 13G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval05_blobs_lidar.tgz | |
| v1.0-trainval05_keyframes.tgz | 3.7G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval05_keyframes.tgz | |
| v1.0-trainval06_blobs_lidar.tgz | 12G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval06_blobs_lidar.tgz | |
| v1.0-trainval06_keyframes.tgz | 3.6G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval06_keyframes.tgz | |
| v1.0-trainval07_blobs_lidar.tgz | 13G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval07_blobs_lidar.tgz | |
| v1.0-trainval07_keyframes.tgz | 3.9G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval07_keyframes.tgz | |
| v1.0-trainval08_blobs_lidar.tgz | 13G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval08_blobs_lidar.tgz | |
| v1.0-trainval08_keyframes.tgz | 4.0G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval08_keyframes.tgz | |
| v1.0-trainval09_blobs_lidar.tgz | 14G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval09_blobs_lidar.tgz | |
| v1.0-trainval09_keyframes.tgz | 4.5G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval09_keyframes.tgz | |
| v1.0-trainval10_blobs_lidar.tgz | 14G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval10_blobs_lidar.tgz | |
| v1.0-trainval10_keyframes.tgz | 5.8G | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval10_keyframes.tgz | |
| v1.0-trainval_meta.tgz | 440M | 命令行下载：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval_meta.tgz | |
| 44.FlyingThings3D18G | 433G | ||
| FlyingChairs.zip | 31G | 命令行下载：wget http://datasets.blockelite.cn/44.FlyingThings3D/FlyingChairs.zip | |
| flyingthings3d__frames_cleanpass.tar | 37G | 命令行下载：wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__frames_cleanpass.tar | |
| flyingthings3d__frames_finalpass.tar | 43G | 命令行下载：wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__frames_finalpass.tar | |
| flyingthings3d__optical_flow.tar.bz2 | 311G | 命令行下载：wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__optical_flow.tar.bz2 | |
| hd1k_full_package.zip | 7.9G | 命令行下载：wget http://datasets.blockelite.cn/44.FlyingThings3D/hd1k_full_package.zip | |
| MPI-Sintel-complete.zip | 5.3G | 命令行下载：wget http://datasets.blockelite.cn/44.FlyingThings3D/MPI-Sintel-complete.zip | |
| 45.isbi_2019 | 18G | ||
| abd_data.zip | 6.1G | 命令行下载：wget http://datasets.blockelite.cn/45.isbi_2019/abd_data.zip | |
| Faster-ILOD.tar.gz | 2.0G | 命令行下载：wget http://datasets.blockelite.cn/45.isbi_2019/Faster-ILOD.tar.gz | |
| PnpAda_release_data.zip | 9.4G | 命令行下载：wget http://datasets.blockelite.cn/45.isbi_2019/PnpAda_release_data.zip | |
| 46.ipdray | 11G | ||
| pidray.zip | 11G | 命令行下载：wget http://datasets.blockelite.cn/46.ipdray/pidray.zip | |
| 47.winter21_whole | 1.1T | ||
| winter21_whole.tar.gz | 1.1T | 命令行下载：wget http://datasets.blockelite.cn/47.winter21_whole/winter21_whole.tar.gz | |
| 48.isbi_2019 | 8.7G | ||
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