【机器学习-公开数据集免费下载】
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【机器学习-公开数据集免费下载】
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智星云公開(kāi)數(shù)據(jù)集下載
公開(kāi)數(shù)據(jù)集免費(fèi)下載
為方便深度學(xué)習(xí)用戶，智星云提供了公開(kāi)數(shù)據(jù)集的免費(fèi)下載。
公開(kāi)數(shù)據(jù)集下載地址：
瀏覽器登陸：http://datasets.blockelite.cn
FTP登陸：ftp://datasets.blockelite.cn ，建議使用filezilla下載，匿名登錄，可以在用戶名里輸入anonymous，密碼不用輸入。
命令行下載，請(qǐng)參考下文命令
如果您需要的公開(kāi)數(shù)據(jù)集不在上述列表中，可聯(lián)系客服添加。已有數(shù)據(jù)集列表：
| 01.DIV2K | 7.2G | DIV2K 數(shù)據(jù)集：DIVerse 2K 分辨率高質(zhì)量圖像，用于應(yīng)對(duì) NTIRE（CVPR 2017 和 CVPR 2018）和 @ PIRM （ECCV 2018） 的挑戰(zhàn) |
| DIV2K.tar | 7.2G | 命令行下載：wget http://datasets.blockelite.cn/01.DIV2K/DIV2K.tar |
| 02.Flickr2K | 21G | 超分辨圖像重建 |
| Flickr2K.tar | 21G | 命令行下載：wget http://datasets.blockelite.cn/02.Flickr2K/Flickr2K.tar |
| 03.VOC_2012 | 3.6G | 主要是針對(duì)視覺(jué)任務(wù)中監(jiān)督學(xué)習(xí)提供標(biāo)簽數(shù)據(jù) |
| VOC2012test.tar | 1.8G | 命令行下載：wget http://datasets.blockelite.cn/03.VOC_2012/VOC2012test.tar |
| VOCtrainval_11-May-2012.tar | 1.9G | 命令行下載：wget http://datasets.blockelite.cn/03.VOC_2012/VOCtrainval_11-May-2012.tar |
| 04.VOC_2007 | 869M | 主要是針對(duì)視覺(jué)任務(wù)中監(jiān)督學(xué)習(xí)提供標(biāo)簽數(shù)據(jù) |
| 04.VOCtest_06-Nov-2007.tar | 431M | 命令行下載：wget http://datasets.blockelite.cn/04.VOC_2007/VOCtest_06-Nov-2007.tar |
| 04.VOCtest_06-Nov-2007.tar | 439M | 命令行下載：wget http://datasets.blockelite.cn/04.VOC_2007/VOCtrainval_06-Nov-2007.tar |
| 05.DeepLesion | 222G | 最大開(kāi)源臨床醫(yī)療圖像數(shù)據(jù)集 |
| Images_png_01.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion//Images_png_01.zip |
| Images_png_02.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_02.zip |
| Images_png_03.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_03.zip |
| Images_png_04.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_04.zip |
| Images_png_05.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_05.zip |
| Images_png_06.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_06.zip |
| Images_png_07.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_07.zip |
| Images_png_08.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_08.zip |
| Images_png_09.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_09.zip |
| Images_png_10.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_10.zip |
| Images_png_11.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_10.zip |
| Images_png_12.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_12.zip |
| Images_png_13.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_13.zip |
| Images_png_14.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_14.zip |
| Images_png_15.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_15.zip |
| Images_png_16.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_16.zip |
| Images_png_17.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_17.zip |
| Images_png_18.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_18.zip |
| Images_png_19.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_19.zip |
| Images_png_20.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_20.zip |
| Images_png_21.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_21.zip |
| Images_png_22.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_22.zip |
| Images_png_23.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_23.zip |
| Images_png_24.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_24.zip |
| Images_png_25.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_25.zip |
| Images_png_26.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png26.zip |
| Images_png_27.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_27.zip |
| Images_png_28.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_28.zip |
| Images_png_29.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_29.zip |
| Images_png_30.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_30.zip |
| Images_png_31.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_31.zip |
| Images_png_32.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_32zip |
| Images_png_33.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_33.zip |
| Images_png_34.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_34.zip |
| Images_png_35.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_35.zip |
| Images_png_36.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_36.zip |
| Images_png_37.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_37.zip |
| Images_png_38.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_38.zip |
| Images_png_39.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_39.zip |
| Images_png_40.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_40.zip |
| Images_png_41.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_41.zip |
| Images_png_42.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_42.zip |
| Images_png_43.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_43.zip |
| Images_png_44.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_44.zip |
| Images_png_37.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_37.zip |
| Images_png_38.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_38.zip |
| Images_png_39.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_39.zip |
| Images_png_40.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_40.zip |
| Images_png_41.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_41.zip |
| Images_png_42.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_42.zip |
| Images_png_43.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_43.zip |
| Images_png_44.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_44.zip |
| Images_png_45.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_45.zip |
| Images_png_46.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_46.zip |
| Images_png_47.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_47.zip |
| Images_png_48.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_48.zip |
| Images_png_49.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_49.zip |
| Images_png_50.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_50.zip |
| Images_png_51.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_51.zip |
| Images_png_52.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_52.zip |
| Images_png_53.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_53.zip |
| Images_png_54.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_54.zip |
| Images_png_55.zip | 4.1G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_55.zip |
| Images_png_56.zip | 1.2G | 命令行下載：wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_56.zip |
| 06.ImageNet_2012 | 145G | 2012年圖像網(wǎng)大規(guī)模視覺(jué)識(shí)別挑戰(zhàn) |
| ILSVRC2012_img_train.tar | 138G | 命令行下載：wget http://datasets.blockelite.cn/06.ImageNet_2012/ILSVRC2012_img_train.tar |
| ILSVRC2012_img_val.tar | 6.3G | 命令行下載：wget http://datasets.blockelite.cn/06.ImageNet_2012/ILSVRC2012_img_val.tar |
| 07.CrowdHuman | 14G | 曠世發(fā)布的用于行人檢測(cè)的數(shù)據(jù)集，圖片數(shù)據(jù)大多來(lái)自于google搜索 |
| annotation_train.odgt | 77M | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/annotation_train.odgt |
| annotation_val.odgt | 23M | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/annotation_val.odgt |
| CrowdHuman_test.zip | 3.1G | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_test.zip |
| CrowdHuman_train01.zip | 2.8G | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train01.zip |
| CrowdHuman_train02.zip | 2.9G | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train02.zip |
| CrowdHuman_train03.zip | 2.2G | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train03.zip |
| CrowdHuman_val.zip | 2.4G | 命令行下載：wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_val.zip |
| 08.Market-1501 | 1G | 行人重識(shí)別 |
| distractors_500k.zip | 1016M | 命令行下載：wget http://datasets.blockelite.cn08.Market-1501/distractors_500k.zip |
| 09.OpenSLR_12 | 58G | 語(yǔ)音識(shí)別 |
| cifar-10-python.tar.gz | 163M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/cifar-10-python.tar.gz |
| dev-clean.tar.gz | 323M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/dev-clean.tar.gz |
| dev-other.tar.gz | 300M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/dev-other.tar.gz |
| original-books.tar.gz | 284M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/original-books.tar.gz |
| raw-metadata.tar.gz | 32M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/raw-metadata.tar.gz |
| test-clean.tar.gz | 331M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/test-clean.tar.gz |
| test-other.tar.gz | 314M | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/test-other.tar.gz |
| train-clean-100.tar.gz | 6.0G | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/train-clean-100.tar.gz |
| train-clean-360.tar.gz | 22G | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/train-clean-360.tar.gz |
| train-other-500.tar.gz | 29G | 命令行下載：wget http://datasets.blockelite.cn/09.OpenSLR_12/train-other-500.tar.gz |
| 10.OpenSLR_11 | 5.2G | 語(yǔ)音識(shí)別 |
| 3-gram.arpa.gz | 725M | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/train-other-500.tar.gz |
| 3-gram.pruned.1e-7.arpa.gz | 33M | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/3-gram.pruned.1e-7.arpa.gz |
| 3-gram.pruned.3e-7.arpa.gz | 14M | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/3-gram.pruned.3e-7.arpa.gz |
| 4-gram.arpa.gz | 1.3G | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/4-gram.arpa.gz |
| librispeech-lexicon.txt | 5.4M | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lexicon.txt |
| librispeech-lm-corpus.tgz | 1.7G | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lm-corpus.tgz |
| librispeech-lm-norm.txt.gz | 1.5G | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lm-norm.txt.gz |
| librispeech-vocab.txt | 1.7M | 命令行下載：wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-vocab.txt |
| 11.Cityscapes | 415G | 包含大量街道圖片、視頻用來(lái)訓(xùn)練識(shí)別的數(shù)據(jù)集。 |
| camera_trainextra.zip | 7.8M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/camera_trainextra.zip |
| camera_trainvaltest.zip | 1.9M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/camera_trainvaltest.zip |
| disparity_trainextra.zip | 15G | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/disparity_trainextra.zip |
| disparity_trainvaltest.zip | 3.6G | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/disparity_trainvaltest.zip |
| gtCoarse.zip | 1.3G | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/gtCoarse.zip |
| gtFine_trainvaltest.zip | 241M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/gtFine_trainvaltest.zip |
| leftImg8bit_blurred.zip | 11G | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_blurred.zip |
| leftImg8bit_demoVideo.zip | 7.7M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_demoVideo.zip |
| leftImg8bit_sequence_trainvaltest.zip | 1.9M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_sequence_trainvaltest.zip |
| leftImg8bit_trainextra.zip | 1.6M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_trainextra.zip |
| leftImg8bit_trainvaltest.zip | 8.0K | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_trainvaltest.zip |
| vehicle_trainextra.zip | 9.5M | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/vehicle_trainextra.zip |
| vehicle_trainvaltest.zip | 32K | 命令行下載：wget http://datasets.blockelite.cn/11.Cityscapes/vehicle_trainvaltest.zip |
| 12.mnist | 12M | 提供灰度手寫(xiě)數(shù)字圖片 |
| t10k-images-idx3-ubyte.gz | 1.6M | 命令行下載：wget http://datasets.blockelite.cn/12.mnist/t10k-images-idx3-ubyte.gz |
| t10k-labels-idx1-ubyte.gz | 8.0K | 命令行下載：wget http://datasets.blockelite.cn/12.mnist/t10k-labels-idx1-ubyte.gz |
| train-images-idx3-ubyte.gz | 9.5M | 命令行下載：wget http://datasets.blockelite.cn/12.mnist/train-images-idx3-ubyte.gz |
| train-labels-idx1-ubyte.gz | 32K | 命令行下載：wget http://datasets.blockelite.cn/12.mnist/train-labels-idx1-ubyte.gz |
| 13.CUB_200_2011 | 1.1G | 鳥(niǎo)類(lèi)數(shù)據(jù)集 |
| CUB_200_2011.tgz | 1.1G | 命令行下載：wget http://datasets.blockelite.cn/13.CUB_200_2011/CUB_200_2011.tgz |
| 14.vision.standford | 2.8G | |
| ImageNetDogs | 2.8G | 命令行下載：wget http://datasets.blockelite.cn/14.vision.standford/ImageNetDogs |
| 15.LUNA16 | 47G | |
| CSVFILES.rar | 9.4M | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/CSVFILES.rar |
| seg-lungs-LUNA16.rar | 277M | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/seg-lungs-LUNA16.rar |
| subset0.rar | 5.0G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset0.rar |
| subset1.rar | 4.6G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset1.rar |
| subset2.rar | 3.3G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset2.rar |
| subset3.rar | 5.1G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset3.rar |
| subset4.rar | 5.0G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset4.rar |
| subset5.rar | 4.9G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset5.rar |
| subset6.rar | 4.8G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset6.rar |
| subset7.rar | 4.6G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset7.rar |
| subset8.rar | 4.5G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset8.rar |
| subset9.rar | 4.9G | 命令行下載：wget http://datasets.blockelite.cn/15.LUNA16/subset9.rar |
| 16.HIE | 1.4G | LUNA16數(shù)據(jù)集是最大公用肺結(jié)節(jié)數(shù)據(jù)集LIDC-IDRI的子集，LIDC-IDRI它包括1018個(gè)低劑量的肺部CT影像。LIDC-IDRI刪除了切片厚度大于3mm和肺結(jié)節(jié)小于3mm的CT影像，剩下的就是LUNA16數(shù)據(jù)集了 |
| HIE20labels.zip | 125M | 命令行下載：wget http://datasets.blockelite.cn/16.HIE/HIE20labels.zip |
| HIE20.zip | 1.2G | 命令行下載：wget http://datasets.blockelite.cn/16.HIE/HIE20.zip |
| 17.DOTA | 19G | 目標(biāo)檢測(cè)數(shù)據(jù)集，大量航拍圖片 |
| test.zip | 6.3G | 命令行下載：wget http://datasets.blockelite.cn/17.DOTA/test.zip |
| train.zip | 9.6G | 命令行下載：wget http://datasets.blockelite.cn/17.DOTA/train.zip |
| val.zip | 3.2G | 命令行下載：wget http://datasets.blockelite.cn/17.DOTA/val.zip |
| 18.COCO_2014 | 26G | 微軟發(fā)布的COCO數(shù)據(jù)庫(kù)是一個(gè)大型圖像數(shù)據(jù)集,專(zhuān)為對(duì)象檢測(cè)、分割、人體關(guān)鍵點(diǎn)檢測(cè)、語(yǔ)義分割和字幕生成而設(shè)計(jì) |
| annotations_trainval2014.zip | 242M | 命令行下載：wget http://datasets.blockelite.cn/18.COCO_2014/annotations_trainval2014.zip |
| image_info_test2014.zip | 748K | 命令行下載：wget http://datasets.blockelite.cn/18.COCO_2014/image_info_test2014.zip |
| test2014.zip | 6.3G | 命令行下載：wget http://datasets.blockelite.cn/18.COCO_2014/test2014.zip |
| train2014.zip | 13G | 命令行下載：wget http://datasets.blockelite.cn/18.COCO_2014/train2014.zip |
| val2014.zip | 6.2G | 命令行下載：wget http://datasets.blockelite.cn/18.COCO_2014/val2014.zip |
| 19.COCO_2015 | 13G | 微軟發(fā)布的COCO數(shù)據(jù)庫(kù)是一個(gè)大型圖像數(shù)據(jù)集,專(zhuān)為對(duì)象檢測(cè)、分割、人體關(guān)鍵點(diǎn)檢測(cè)、語(yǔ)義分割和字幕生成而設(shè)計(jì) |
| image_info_test2015.zip | 1.9M | 命令行下載：wget http://datasets.blockelite.cn/19.COCO_2015/image_info_test2015.zip |
| test2015.zip | 13G | 命令行下載：wget http://datasets.blockelite.cn/19.COCO_2015/test2015.zip |
| 20.COCO_2017 | 28G | 微軟發(fā)布的COCO數(shù)據(jù)庫(kù)是一個(gè)大型圖像數(shù)據(jù)集,專(zhuān)為對(duì)象檢測(cè)、分割、人體關(guān)鍵點(diǎn)檢測(cè)、語(yǔ)義分割和字幕生成而設(shè)計(jì) |
| annotations_trainval2017.zip | 242M | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/annotations_trainval2017.zip |
| image_info_test2017.zip | 1.1M | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/image_info_test2017.zip |
| image_info_unlabeled2017.zip | 4.7M | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/image_info_unlabeled2017.zip |
| panoptic_annotations_trainval2017.zip | 821M | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/panoptic_annotations_trainval2017.zip |
| stuff_annotations_trainval2017.zip | 1.1G | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/stuff_annotations_trainval2017.zip |
| test2017.zip | 6.2G | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/test2017.zip |
| train2017.zip | 19G | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/train2017.zip |
| val2017.zip | 778M | 命令行下載：wget http://datasets.blockelite.cn/20.COCO_2017/val2017.zip |
| 21.sceneflow | 180G | 所有的數(shù)據(jù)都是960x540分辨率的立體圖片 |
| driving_disparity.tgz | 9.2G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/driving_disparity.tgz |
| driving__frames_cleanpass.tar | 6.3G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/driving__frames_cleanpass.tar |
| flyingthings3d__disparity.tar.bz2a | 19G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2a |
| flyingthings3d__disparity.tar.bz2b | 19G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2b |
| flyingthings3d__disparity.tar.bz2c | 19G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2c |
| flyingthings3d__disparity.tar.bz2d | 19G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2d |
| flyingthings3d__disparity.tar.bz2e | 13G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2e |
| flyingthings3d__frames_cleanpass.taraa | 9.8G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.taraa |
| flyingthings3d__frames_cleanpass.tarab | 9.8G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarab |
| flyingthings3d__frames_cleanpass.tarac | 9.8G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarac |
| flyingthings3d__frames_cleanpass.tarad | 7.5G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarad |
| kitti.zip | 3.5G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/kitti.zip |
| monkaa__disparity.tar.bz2a | 15G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/monkaa__disparity.tar.bz2a |
| monkaa__disparity.tar.bz2b | 14G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/monkaa__disparity.tar.bz2b |
| monkaa__frames_cleanpass.tar | 9.1G | 命令行下載：wget http://datasets.blockelite.cn/21.sceneflow/monkaa__frames_cleanpass.tar |
| 22.ADEChallenge | 923M | 細(xì)粒度用戶評(píng)論情感分析數(shù)據(jù)集 |
| ADEChallengeData2016.zip | 923M | 命令行下載：wget http://datasets.blockelite.cn/22.ADEChallenge/ADEChallengeData2016.zip |
| 22.AI_challenge | 22G | 細(xì)粒度用戶評(píng)論情感分析數(shù)據(jù)集 |
| ai_challenger_keypoint_test_a_20180103.zip | 2.0G | 命令行下載：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_test_a_20180103.zip |
| ai_challenger_keypoint_test_b_20180103.zip | 2.0G | 命令行下載：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_test_b_20180103.zip |
| ai_challenger_keypoint_train_20170902.zip | 15G | 命令行下載：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_train_20170902.zip |
| ai_challenger_keypoint_train_annotations_20170909.zip | 117M | 命令行下載：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_train_annotations_20170909.zip |
| ai_challenger_keypoint_validation_20170911.zip | 2.3G | 命令行下載：wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_validation_20170911.zip |
| h36m.zip | 248M | 命令行下載：wget http://datasets.blockelite.cn/22.AI_challenge/h36m.zip |
| 23.KITTI | 599G | KITTI主要是針對(duì)自動(dòng)駕駛領(lǐng)域的圖像處理技術(shù)，主要應(yīng)用在自動(dòng)駕駛感知和預(yù)測(cè)方面，其中也涉及定位和SLAM技術(shù) |
| kitti_data.zip | 162G | 命令行下載：wget http://datasets.blockelite.cn/23.KITTI/kitti_data.zip |
| KITTI.zip | 437G | 命令行下載：wget http://datasets.blockelite.cn/23.KITTI/KITTI.zip |
| 24.cifar-10 | 163M | CIFAR-10是一個(gè)更接近普適物體的彩色圖像數(shù)據(jù)集 |
| cifar-10-python.tar.gz | 163M | 命令行下載：wget http://datasets.blockelite.cn/24.cifar-10/cifar-10-python.tar.gz |
| 25.Places | 127G | 場(chǎng)景識(shí)別數(shù)據(jù)集 |
| test_large.tar | 20G | 命令行下載：wget http://datasets.blockelite.cn/25.Places/test_large.tar |
| train_large_places365standard.tar | 105G | 命令行下載：wget http://datasets.blockelite.cn/25.Places/train_large_places365standard.tar |
| val_large.tar | 2.2G | 命令行下載：wget http://datasets.blockelite.cn/25.Places/val_large.tar |
| 26.img_align_celeba | 1.4G | 人臉數(shù)據(jù)集 |
| img_align_celeba.zip | 1.4G | 命令行下載：wget http://datasets.blockelite.cn/26.img_align_celeba/img_align_celeba.zip |
| 27.MATLAB | 12G | |
| MATLAB.tar | 12G | 命令行下載：wget http://datasets.blockelite.cn/27.MATLAB/MATLAB.tar |
| 28.mpii_human_pose_v1 | 12G | 人體姿勢(shì)估計(jì)數(shù)據(jù)集 |
| mpii_human_pose_v1.tar.gz | 12G | 命令行下載：wget http://datasets.blockelite.cn/28.mpii_human_pose_v1/mpii_human_pose_v1.tar.gz |
| 29.Kinetics-400 | 132G | 包括了四百種的人體動(dòng)作類(lèi)別 |
| label.zip | 23M | 命令行下載：wget http://datasets.blockelite.cn/29.Kinetics-400/label.zip |
| raw-part.zip | 132G | 命令行下載：wget http://datasets.blockelite.cn/29.Kinetics-400/raw-part.zip |
| 30.something-somethingV2 | 19G | 大型的帶有標(biāo)簽的記錄了人類(lèi)與日常生活中的一些物體之間的動(dòng)作數(shù)據(jù)集 |
| 20bn-something-something-v2.tar.gz | 19G | 命令行下載：wget http://datasets.blockelite.cn/30.something-somethingV2/20bn-something-something-v2.tar.gz |
| something-something-v2-labels.json | 12K | 命令行下載：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-labels.json |
| something-something-v2-test.json | 440K | 命令行下載：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-test.json |
| something-something-v2-train.json | 25M | 命令行下載：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-train.json |
| something-something-v2-validation.json | 3.6M | 命令行下載：wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-validation.json |
| 32.somethingsomethingV1 | 24G | 大型的帶有標(biāo)簽的記錄了人類(lèi)與日常生活中的一些物體之間的動(dòng)作數(shù)據(jù)集 |
| 20bn-something-something-v1.tar.gz | 954M | 命令行下載：wget http://datasets.blockelite.cn/32.somethingsomethingV1/20bn-something-something-v1-00.tar.gz |
| something-something-v1-labels.csv | 8.0K | 命令行下載：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-labels.csv |
| something-something-v1-test.csv | 72K | 命令行下載：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-test.csv |
| something-something-v1-train.csv | 4.0M | 命令行下載：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-train.csv |
| something-something-v1-validation.csv | 520K | 命令行下載：wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-validation.csv |
| 33.coco_2018 | 89G | 微軟發(fā)布的COCO數(shù)據(jù)庫(kù)是一個(gè)大型圖像數(shù)據(jù)集,專(zhuān)為對(duì)象檢測(cè)、分割、人體關(guān)鍵點(diǎn)檢測(cè)、語(yǔ)義分割和字幕生成而設(shè)計(jì) |
| 2018-04-27_bottom-up-attention_fixed_36.zip | 58G | 命令行下載：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 | 命令行下載：wget http://datasets.blockelite.cn/33.coco_2018/2018-04-27_bottom-up-attention_fixed_36-small.zip |
| 34.LUSN | 157G | LSUNDataset是一個(gè)大規(guī)模圖像數(shù)據(jù)集，其基于人類(lèi)在循環(huán)中進(jìn)行深度學(xué)習(xí)的構(gòu)建，包含10個(gè)場(chǎng)景類(lèi)別和20個(gè)對(duì)象類(lèi)別，共計(jì)約100萬(wàn)張標(biāo)記圖像 |
| bedroom.zip | 43G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/bedroom.zip |
| bridge.zip | 16G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/bridge.zip |
| church_outdoor.zip | 2.3G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/church_outdoor.zip |
| classroom.zip | 3.1G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/classroom.zip |
| conference_room.zip | 3.8G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/conference_room.zip |
| dining_room.zip | 11G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/dining_room.zip |
| kitchen.zip | 34G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/kitchen.zip |
| living_room.zip | 22G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/living_room.zip |
| restaurant.zip | 13G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/restaurant.zip |
| tower.zip | 12G | 命令行下載：wget http://datasets.blockelite.cn/34.LUSN/tower.zip |
| 35.iccv-workshop | 32G | |
| Label.tar | 924K | 命令行下載：wget http://datasets.blockelite.cn/35.iccv-workshop/Label.tar |
| Test.tar | 9.5G | 命令行下載：wget http://datasets.blockelite.cn/35.iccv-workshop/Test.tar |
| Train.tar | 19G | 命令行下載：wget http://datasets.blockelite.cn/35.iccv-workshop/Train.tar |
| Val.tar | 3.2G | 命令行下載：wget http://datasets.blockelite.cn/35.iccv-workshop/Val.tar |
| 36.multicoil_challenge | 56G | |
| brain_multicoil_challenge.tar.gz | 37G | 命令行下載：wget http://datasets.blockelite.cn/36.multicoil_challenge/brain_multicoil_challenge.tar.gz |
| transfer_42953_files_f8be9cd5.zip | 19G | 命令行下載：wget http://datasets.blockelite.cn/36.multicoil_challenge/transfer_42953_files_f8be9cd5.zip |
| 37.human3.6m | 26G | 3D人體姿態(tài)估計(jì) |
| h36m_annot.tar | 349M | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/h36m_annot.tar |
| S11.tar | 2.7G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S11.tar |
| S1.tar | 3.0G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S1.tar |
| S5.tar | 4.8G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S5.tar |
| S6.tar | 3.1G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S6.tar |
| S7.tar | 4.9G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S7.tar |
| S8.tar | 3.2G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S8.tar |
| S9.tar | 3.8G | 命令行下載：wget http://datasets.blockelite.cn/37.human3.6m/S9.tar |
| 38.gat5 | 58G | 深度學(xué)習(xí)與自動(dòng)駕駛領(lǐng)域的數(shù)據(jù)集 |
| 01_images.zip | 5.8G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/01_images.zip |
| 01_labels.zip | 70M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/01_labels.zip |
| 02_images.zip | 5.8G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/02_images.zip |
| 02_labels.zip | 72M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/02_labels.zip |
| 03_images.zip | 5.8G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/03_images.zip |
| 03_labels.zip | 68M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/03_labels.zip |
| 04_images.zip | 5.6G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/04_images.zip |
| 04_labels.zip | 69M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/04_labels.zip |
| 05_images.zip | 5.7G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/05_images.zip |
| 05_labels.zip | 77M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/05_labels.zip |
| 06_images.zip | 5.4G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/06_images.zip |
| 06_labels.zip | 70M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/06_labels.zip |
| 07_images.zip | 5.7G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/07_images.zip |
| 07_labels.zip | 71M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/07_labels.zip |
| 08_images.zip | 6.0G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/08_images.zip |
| 08_labels.zip | 71M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/08_labels.zip |
| 09_images.zip | 5.8G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/09_images.zip |
| 09_labels.zip | 72M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/09_labels.zip |
| 10_images.zip | 5.4G | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/10_images.zip |
| 10_labels.zip | 69M | 命令行下載：wget http://datasets.blockelite.cn/38.gat5/10_labels.zip |
| 39.sceneflow | 219G | |
| Driving.tar | 24G | 命令行下載：wget http://datasets.blockelite.cn/39.sceneflow/Driving.tar |
| FlyingThings3D.tar | 146G | 命令行下載：wget http://datasets.blockelite.cn/39.sceneflow/FlyingThings3D.tar |
| Monkaa.tar | 50G | 命令行下載：wget http://datasets.blockelite.cn/39.sceneflow/Monkaa.tar |
| 40.ntu-rgb+d60_skeleton | 5.8G | 數(shù)據(jù)集提供了60種動(dòng)作，3種拍攝角度，多種互動(dòng)場(chǎng)景和多種演員設(shè)置（年齡、性別覆蓋比較全面），同一動(dòng)作可能重復(fù)表演（站姿，坐姿） |
| nturgbd_skeletons_s001_to_s017.zip | 5.8G | 命令行下載：wget http://datasets.blockelite.cn/40.ntu-rgb+d60_skeleton/nturgbd_skeletons_s001_to_s017.zip |
| 41.urban3D | 18G | 城市規(guī)模點(diǎn)云數(shù)據(jù)集 |
| data_release.zip | 18G | 命令行下載：wget http://datasets.blockelite.cn/41.urban3D/data_release.zip |
| 42.Tencent_AILab_ChineseEmbedding | 6.4G | 騰訊開(kāi)源詞向量 |
| Tencent_AILab_ChineseEmbedding.tar.gz | 6.4G | 命令行下載：wget http://datasets.blockelite.cn/42.Tencent_AILab_ChineseEmbedding/Tencent_AILab_ChineseEmbedding.tar.gz |
| 43.nuScenes | 195G | 是自動(dòng)駕駛公司nuTonomy建立的大規(guī)模自動(dòng)駕駛數(shù)據(jù)集，該數(shù)據(jù)集不僅包含了Camera和Lidar，還記錄了雷達(dá)數(shù)據(jù) |
| v1.0-mini.tar | 3.9G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-mini.tar |
| v1.0-test_blobs_lidar.tgz | 23G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-test_blobs_lidar.tgz |
| v1.0-test_meta.tgz | 68M | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-test_meta.tgz |
| v1.0-trainval01_blobs_lidar.tgz | 13G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval01_blobs_lidar.tgz |
| v1.0-trainval01_keyframes.tar | 4.3G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval01_keyframes.tar |
| v1.0-trainval02_blobs_lidar.tgz | 13G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval02_blobs_lidar.tgz |
| v1.0-trainval02_keyframes.tar | 4.0G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval02_keyframes.tar |
| v1.0-trainval03_blobs_lidar.tgz | 13G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval03_blobs_lidar.tgz |
| v1.0-trainval03_keyframes.tgz | 4.0G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval03_keyframes.tgz |
| v1.0-trainval04_blobs_lidar.tgz | 14G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval04_blobs_lidar.tgz |
| v1.0-trainval04_keyframes.tgz | 4.3G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval04_keyframes.tgz |
| v1.0-trainval05_blobs_lidar.tgz | 13G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval05_blobs_lidar.tgz |
| v1.0-trainval05_keyframes.tgz | 3.7G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval05_keyframes.tgz |
| v1.0-trainval06_blobs_lidar.tgz | 12G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval06_blobs_lidar.tgz |
| v1.0-trainval06_keyframes.tgz | 3.6G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval06_keyframes.tgz |
| v1.0-trainval07_blobs_lidar.tgz | 13G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval07_blobs_lidar.tgz |
| v1.0-trainval07_keyframes.tgz | 3.9G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval07_keyframes.tgz |
| v1.0-trainval08_blobs_lidar.tgz | 13G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval08_blobs_lidar.tgz |
| v1.0-trainval08_keyframes.tgz | 4.0G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval08_keyframes.tgz |
| v1.0-trainval09_blobs_lidar.tgz | 14G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval09_blobs_lidar.tgz |
| v1.0-trainval09_keyframes.tgz | 4.5G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval09_keyframes.tgz |
| v1.0-trainval10_blobs_lidar.tgz | 14G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval10_blobs_lidar.tgz |
| v1.0-trainval10_keyframes.tgz | 5.8G | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval10_keyframes.tgz |
| v1.0-trainval_meta.tgz | 440M | 命令行下載：wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval_meta.tgz |
| 44.FlyingThings3D18G | 433G | |
| FlyingChairs.zip | 31G | 命令行下載：wget http://datasets.blockelite.cn/44.FlyingThings3D/FlyingChairs.zip |
| flyingthings3d__frames_cleanpass.tar | 37G | 命令行下載：wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__frames_cleanpass.tar |
| flyingthings3d__frames_finalpass.tar | 43G | 命令行下載：wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__frames_finalpass.tar |
| flyingthings3d__optical_flow.tar.bz2 | 311G | 命令行下載：wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__optical_flow.tar.bz2 |
| hd1k_full_package.zip | 7.9G | 命令行下載：wget http://datasets.blockelite.cn/44.FlyingThings3D/hd1k_full_package.zip |
| MPI-Sintel-complete.zip | 5.3G | 命令行下載：wget http://datasets.blockelite.cn/44.FlyingThings3D/MPI-Sintel-complete.zip |
| 45.isbi_2019 | 18G | |
| abd_data.zip | 6.1G | 命令行下載：wget http://datasets.blockelite.cn/45.isbi_2019/abd_data.zip |
| Faster-ILOD.tar.gz | 2.0G | 命令行下載：wget http://datasets.blockelite.cn/45.isbi_2019/Faster-ILOD.tar.gz |
| PnpAda_release_data.zip | 9.4G | 命令行下載：wget http://datasets.blockelite.cn/45.isbi_2019/PnpAda_release_data.zip |
| 46.ipdray | 11G | |
| pidray.zip | 11G | 命令行下載：wget http://datasets.blockelite.cn/46.ipdray/pidray.zip |
| 47.winter21_whole | 1.1T | |
| winter21_whole.tar.gz | 1.1T | 命令行下載：wget http://datasets.blockelite.cn/47.winter21_whole/winter21_whole.tar.gz |
| 48.isbi_2019 | 8.7G | |
| aidatatang_200zh.tgz | 命令行下載：wget http://datasets.blockelite.cn/48.aidatatang_200zh/aidatatang_200zh.tgz | |
| 49.AISHELL-3 | 19G | AISHELL-3是北京殼牌科技有限公司推出的大型高保真多人普通話語(yǔ)音語(yǔ)料庫(kù)，可用于訓(xùn)練多人文語(yǔ)轉(zhuǎn)換（TTS）系統(tǒng)。該語(yǔ)料庫(kù)包含218名母語(yǔ)為漢語(yǔ)普通話的人大約85小時(shí)的情感中立錄音，共88035條話語(yǔ)。他們的輔助屬性，如性別、年齡組和母語(yǔ)口音，都在語(yǔ)料庫(kù)中明確標(biāo)記和提供。相應(yīng)地，隨錄音一起提供漢字和拼音水平的成績(jī)單。通過(guò)專(zhuān)業(yè)的語(yǔ)音注釋和嚴(yán)格的聲調(diào)和韻律質(zhì)量檢測(cè)，單詞和聲調(diào)轉(zhuǎn)錄準(zhǔn)確率達(dá)到98%以上。 |
| data_aishell3.tgz | 命令行下載：wget http://datasets.blockelite.cn/49.AISHELL-3/data_aishell3.tgz | |
| 50.market1501 | 19G | 用于行人重識(shí)別 |
| Market-1501-v15.09.15.zip | 命令行下載：wget http://datasets.blockelite.cn/50.market1501/Market-1501-v15.09.15.zip | |
| 51.flickr_30k | 4.2G | |
| flickr30k-images.tar | 命令行下載：wget http://datasets.blockelite.cn/51.flickr_30k/flickr30k-images.tar | |
| flickr30k.tar.gz | 命令行下載：wget http://datasets.blockelite.cn/51.flickr_30k/flickr30k.tar.gz | |
| flickr30k_test.py | 命令行下載：wget http://datasets.blockelite.cn/51.flickr_30k/flickr30k_test.py | |
| 52.wikiart | 26G | |
| wikiart.zip | 命令行下載：wget http://datasets.blockelite.cn/52.wikiart/wikiart.zip | |
| 53.bdd100k | 14G | |
| bdd100k_drivable_maps.zip | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_drivable_maps.zip | |
| bdd100k_files.xml | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_files.xml | |
| bdd100k_images.zip | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_images.zip | |
| bdd100k_jp2.zip | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_jp2.zip | |
| bdd100k_labels.zip | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_labels.zip | |
| bdd100k_meta.sqlite | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_meta.sqlite | |
| bdd100k_meta.xml | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_meta.xml | |
| bdd100k_seg.zip | 命令行下載：wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_seg.zip | |
| 54.scans | 21G | |
| scannetv2-labels.combined.tsv | 命令行下載：wget http://datasets.blockelite.cn/54.scans/scannetv2-labels.combined.tsv | |
| scans | 命令行下載：wget -m http://datasets.blockelite.cn/54.scans/scans | |
| scans_test | 命令行下載：wget -m http://datasets.blockelite.cn/54.scans/scans_test | |
| tasks | 命令行下載：wget -m http://datasets.blockelite.cn/54.scans/tasks |
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