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1.4-常用数据集使用

智星云盘的使用和公开数据集下载


智星云盘是提供给智星云用户的网络存储服务:

· 免费空间:5GB。(注意: 请勿超额使用,系统会随机自动删除多余文件)

· 如需更多存储空间,可联系客服扩容。(微信: 18116215393)

· 云盘在用户注册后即开启,不随所租用GPU服务器的停止而停止。

· 上传和下载使用SFTP协议,使用sftp软件或者命令行,不通过网页端。

· 用户可以在创建GPU服务器前先将数据传到云盘,再创建GPU服务器,然后把数据从云盘传到GPU服务器。(适合用户自身网络慢的情况)

· 若用户自身网速快,也可以创建GPU服务器后直接上传到GPU服务器上。


云盘登录方式:

地址1(首选): pan.blockelite.cn

地址2: 124.131.239.186

地址3: 60.235.235.22

端口: 15022

用户名:小程序注册的手机号

密码:查看小程序后台右下角,我的 -> 我的云盘 - > 密码

云盘的使用:

  1. 从用户本地上传下载,建议使用Filezilla客户端软件,可断点续传。 官方下载地址:https://www.filezilla.cn/download/client

​ 其它下载地址:请自行搜索

 a.   Filezilla的用法,请查看智星云小程序头条的《智星云GPU使用教程- Ubuntu系统》
  1. 从GPU服务器对云盘数据进行上传下载:

    a. 如果您使用VNC登录GPU服务器,可在左上角菜单栏找到Internet -> Filezilla,使用预装好的Filezilla客户端软件与云盘服务器进行数据传输。

    b. 如果您只使用SSH登录GPU服务器,可以使用sftp命令与云盘进行交互:

    * 登录: sftp -P 15022 <手机号>@pan.blockelite.cn  (-P 是大写)
    
    * 使用 ls 命令列出目录,使用 "cd CloudData" 命令进入数据根目录
    
    * 使用 "get <文件名>", 从云盘下载文件到本地当前目录
    
    * 使用 "get -r <文件夹名>", 从云盘下载目录到本地当前目录
    
    * 使用 "put <文件名>", 把当前目录的本地文件上传到云盘
    
    * 使用 "put  -r <文件夹名>", 把本地当前目录上传到云盘
    
  2. 请将您的数据放在CloudData目录下,根目录没有写入权限。


公开数据集免费下载

为方便深度学习用户,智星云提供了公开数据集的免费下载。

公开数据集下载地址: ftp://datasets.blockelite.cn ,建议使用filezilla下载,匿名登录,使用filezilla可以不输入账号密码。不习惯使用ftp,可以点击下面链接进行下载。

如果您需要的公开数据集不在上述列表中,可联系客服添加。已有数据集列表:

数据集名称 数据集大小 数据集简介
01.DIV2K 7.2G 超分辨图像重建
DIV2K.tar 7.2G 命令行下载:wget http://datasets.blockelite.cn/01.DIV2K/DIV2K.tar
02.Flickr2K 21G 超分辨图像重建
Flickr2K.tar 21G 命令行下载:wget http://datasets.blockelite.cn/02.Flickr2K/Flickr2K.tar
03.VOC_2012 3.6G 主要是针对视觉任务中监督学习提供标签数据
VOC2012test.tar 1.8G 命令行下载:wget http://datasets.blockelite.cn/03.VOC_2012/VOC2012test.tar
VOCtrainval_11-May-2012.tar 1.9G 命令行下载:wget http://datasets.blockelite.cn/03.VOC_2012/VOCtrainval_11-May-2012.tar
04.VOC_2007 869M 主要是针对视觉任务中监督学习提供标签数据
04.VOCtest_06-Nov-2007.tar 431M 命令行下载:wget http://datasets.blockelite.cn/04.VOC_2007/VOCtest_06-Nov-2007.tar
04.VOCtest_06-Nov-2007.tar 439M 命令行下载: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 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_01.zip
Images_png_02.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_02.zip
Images_png_03.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_03.zip
Images_png_04.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_04.zip
Images_png_05.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_05.zip
Images_png_06.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_06.zip
Images_png_07.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_07.zip
Images_png_08.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_08.zip
Images_png_09.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_09.zip
Images_png_10.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_10.zip
Images_png_11.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_10.zip
Images_png_12.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_12.zip
Images_png_13.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_13.zip
Images_png_14.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_14.zip
Images_png_15.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_15.zip
Images_png_16.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_16.zip
Images_png_17.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_17.zip
Images_png_18.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_18.zip
Images_png_19.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_19.zip
Images_png_20.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_20.zip
Images_png_21.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_21.zip
Images_png_22.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_22.zip
Images_png_23.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_23.zip
Images_png_24.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_24.zip
Images_png_25.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_25.zip
Images_png_26.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png26.zip
Images_png_27.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_27.zip
Images_png_28.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_28.zip
Images_png_29.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_29.zip
Images_png_30.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_30.zip
Images_png_31.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_31.zip
Images_png_32.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_32zip
Images_png_33.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_33.zip
Images_png_34.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_34.zip
Images_png_35.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_35.zip
Images_png_36.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_36.zip
Images_png_37.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_37.zip
Images_png_38.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_38.zip
Images_png_39.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_39.zip
Images_png_40.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_40.zip
Images_png_41.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_41.zip
Images_png_42.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_42.zip
Images_png_43.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_43.zip
Images_png_44.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_44.zip
Images_png_37.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_37.zip
Images_png_38.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_38.zip
Images_png_39.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_39.zip
Images_png_40.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_40.zip
Images_png_41.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_41.zip
Images_png_42.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_42.zip
Images_png_43.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_43.zip
Images_png_44.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_44.zip
Images_png_45.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_45.zip
Images_png_46.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_46.zip
Images_png_47.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_47.zip
Images_png_48.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_48.zip
Images_png_49.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_49.zip
Images_png_50.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_50.zip
Images_png_51.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_51.zip
Images_png_52.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_52.zip
Images_png_53.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_53.zip
Images_png_54.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_54.zip
Images_png_55.zip 4.1G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_png_55.zip
Images_png_56.zip 1.2G 命令行下载:wget http://datasets.blockelite.cn/05.DeepLesionImages_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/ImageNet_2012/ILSVRC2012_img_train.tar
ILSVRC2012_img_val.tar 6.3G 命令行下载:wget http://datasets.blockelite.cn/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.cn19.COCO_2015/image_info_test2015.zip
test2015.zip 13G 命令行下载:wget http://datasets.blockelite.cn19.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.cn20.COCO_2017/annotations_trainval2017.zip
image_info_test2017.zip 1.1M 命令行下载:wget http://datasets.blockelite.cn20.COCO_2017/image_info_test2017.zip
image_info_unlabeled2017.zip 4.7M 命令行下载:wget http://datasets.blockelite.cn20.COCO_2017/image_info_unlabeled2017.zip
panoptic_annotations_trainval2017.zip 821M 命令行下载:wget http://datasets.blockelite.cn20.COCO_2017/panoptic_annotations_trainval2017.zip
stuff_annotations_trainval2017.zip 1.1G 命令行下载:wget http://datasets.blockelite.cn20.COCO_2017/stuff_annotations_trainval2017.zip
test2017.zip 6.2G 命令行下载:wget http://datasets.blockelite.cn20.COCO_2017/test2017.zip
train2017.zip 19G 命令行下载:wget http://datasets.blockelite.cn20.COCO_2017/train2017.zip
val2017.zip 778M 命令行下载:wget http://datasets.blockelite.cn20.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
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