【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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智星云公開數據集下載
公開數據集免費下載
為方便深度學習用戶，智星云提供了公開數據集的免費下載。
公開數據集下載地址：
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，請參考下文命令
如果您需要的公開數據集不在上述列表中，可聯系客服添加。已有數據集列表：
| 01.DIV2K | 7.2G | DIV2K 數據集：DIVerse 2K 分辨率高質量圖像，用于應對 NTIRE（CVPR 2017 和 CVPR 2018）和 @ PIRM （ECCV 2018） 的挑戰 |
| 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 | 主要是針對視覺任務中監督學習提供標簽數據 |
| 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 | 主要是針對視覺任務中監督學習提供標簽數據 |
| 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 | 最大開源臨床醫療圖像數據集 |
| 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年圖像網大規模視覺識別挑戰 |
| 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 | 曠世發布的用于行人檢測的數據集，圖片數據大多來自于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 | 語音識別 |
| 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 | 語音識別 |
| 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、視頻用來訓練識別的數據集。 |
| 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 | 提供灰度手寫數字圖片 |
| 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 | 鳥類數據集 |
| 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數據集是最大公用肺結節數據集LIDC-IDRI的子集，LIDC-IDRI它包括1018個低劑量的肺部CT影像。LIDC-IDRI刪除了切片厚度大于3mm和肺結節小于3mm的CT影像，剩下的就是LUNA16數據集了 |
| 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 | 目標檢測數據集，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 | 微軟發布的COCO數據庫是一個大型圖像數據集,專為對象檢測、分割、人體關鍵點檢測、語義分割和字幕生成而設計 |
| 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 | 微軟發布的COCO數據庫是一個大型圖像數據集,專為對象檢測、分割、人體關鍵點檢測、語義分割和字幕生成而設計 |
| 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 | 微軟發布的COCO數據庫是一個大型圖像數據集,專為對象檢測、分割、人體關鍵點檢測、語義分割和字幕生成而設計 |
| 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 | 所有的數據都是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 | 細粒度用戶評論情感分析數據集 |
| ADEChallengeData2016.zip | 923M | 命令行下載：wget http://datasets.blockelite.cn/22.ADEChallenge/ADEChallengeData2016.zip |
| 22.AI_challenge | 22G | 細粒度用戶評論情感分析數據集 |
| 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主要是針對自動駕駛領域的圖像處理技術，主要應用在自動駕駛感知和預測方面，其中也涉及定位和SLAM技術 |
| 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是一個更接近普適物體的彩色圖像數據集 |
| 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 | 場景識別數據集 |
| 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 | 人臉數據集 |
| 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 | 人體姿勢估計數據集 |
| 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作類別 |
| 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 | 大型的帶有標簽的記錄了人類與日常生活中的一些物體之間的動作數據集 |
| 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 | 大型的帶有標簽的記錄了人類與日常生活中的一些物體之間的動作數據集 |
| 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 | 微軟發布的COCO數據庫是一個大型圖像數據集,專為對象檢測、分割、人體關鍵點檢測、語義分割和字幕生成而設計 |
| 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是一個大規模圖像數據集，其基于人類在循環中進行深度學習的構建，包含10個場景類別和20個對象類別，共計約100萬張標記圖像 |
| 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人體姿態估計 |
| 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 | 深度學習與自動駕駛領域的數據集 |
| 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 | 數據集提供了60種動作，3種拍攝角度，多種互動場景和多種演員設置（年齡、性別覆蓋比較全面），同一動作可能重復表演（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 | 城市規模點云數據集 |
| 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 | 是自動駕駛公司nuTonomy建立的大規模自動駕駛數據集，該數據集不僅包含了Camera和Lidar，還記錄了雷達數據 |
| 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音語料庫，可用于訓練多人文語轉換（TTS）系統。該語料庫包含218名母語為漢語普通話的人大約85小時的情感中立錄音，共88035條話語。他們的輔助屬性，如性別、年齡組和母語口音，都在語料庫中明確標記和提供。相應地，隨錄音一起提供漢字和拼音水平的成績單。通過專業的語音注釋和嚴格的聲調和韻律質量檢測，單詞和聲調轉錄準確率達到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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