| 01.DIV2K |
7.2G |
DIV2K 数据集:DIVerse 2K 分辨率高质量图像,用于应对 NTIRE(CVPR 2017 和 CVPR 2018)和 @ PIRM (ECCV 2018) 的挑战
|
| 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.DeepLesion/Images_png_02.zip
|
| Images_png_03.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_03.zip
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| Images_png_04.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_04.zip
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| Images_png_05.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_05.zip
|
| Images_png_06.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_06.zip
|
| Images_png_07.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_07.zip
|
| Images_png_08.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_08.zip
|
| Images_png_09.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_09.zip
|
| Images_png_10.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_10.zip
|
| Images_png_11.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_10.zip
|
| Images_png_12.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_12.zip
|
| Images_png_13.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_13.zip
|
| Images_png_14.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_14.zip
|
| Images_png_15.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_15.zip
|
| Images_png_16.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_16.zip
|
| Images_png_17.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_17.zip
|
| Images_png_18.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_18.zip
|
| Images_png_19.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_19.zip
|
| Images_png_20.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_20.zip
|
| Images_png_21.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_21.zip
|
| Images_png_22.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_22.zip
|
| Images_png_23.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_23.zip
|
| Images_png_24.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_24.zip
|
| Images_png_25.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_25.zip
|
| Images_png_26.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png26.zip
|
| Images_png_27.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_27.zip
|
| Images_png_28.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_28.zip
|
| Images_png_29.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_29.zip
|
| Images_png_30.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_30.zip
|
| Images_png_31.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_31.zip
|
| Images_png_32.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_32zip
|
| Images_png_33.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_33.zip
|
| Images_png_34.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_34.zip
|
| Images_png_35.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_35.zip
|
| Images_png_36.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_36.zip
|
| Images_png_37.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_37.zip
|
| Images_png_38.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_38.zip
|
| Images_png_39.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_39.zip
|
| Images_png_40.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_40.zip
|
| Images_png_41.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_41.zip
|
| Images_png_42.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_42.zip
|
| Images_png_43.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_43.zip
|
| Images_png_44.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_44.zip
|
| Images_png_37.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_37.zip
|
| Images_png_38.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_38.zip
|
| Images_png_39.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_39.zip
|
| Images_png_40.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_40.zip
|
| Images_png_41.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_41.zip
|
| Images_png_42.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_42.zip
|
| Images_png_43.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_43.zip
|
| Images_png_44.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_44.zip
|
| Images_png_45.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_45.zip
|
| Images_png_46.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_46.zip
|
| Images_png_47.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_47.zip
|
| Images_png_48.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_48.zip
|
| Images_png_49.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_49.zip
|
| Images_png_50.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_50.zip
|
| Images_png_51.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_51.zip
|
| Images_png_52.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_52.zip
|
| Images_png_53.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_53.zip
|
| Images_png_54.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_54.zip
|
| Images_png_55.zip
|
4.1G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_55.zip
|
| Images_png_56.zip
|
1.2G |
命令行下载:wget http://datasets.blockelite.cn/05.DeepLesion/Images_png_56.zip
|
| 06.ImageNet_2012 |
145G |
2012年图像网大规模视觉识别挑战 |
| ILSVRC2012_img_train.tar
|
138G |
命令行下载:wget http://datasets.blockelite.cn/06.ImageNet_2012/ILSVRC2012_img_train.tar
|
| ILSVRC2012_img_val.tar
|
6.3G |
命令行下载:wget http://datasets.blockelite.cn/06.ImageNet_2012/ILSVRC2012_img_val.tar
|
| 07.CrowdHuman |
14G |
旷世发布的用于行人检测的数据集,图片数据大多来自于google搜索 |
| annotation_train.odgt
|
77M |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/annotation_train.odgt
|
| annotation_val.odgt
|
23M |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/annotation_val.odgt
|
| CrowdHuman_test.zip
|
3.1G |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_test.zip
|
| CrowdHuman_train01.zip
|
2.8G |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train01.zip
|
| CrowdHuman_train02.zip
|
2.9G |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train02.zip
|
| CrowdHuman_train03.zip
|
2.2G |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_train03.zip
|
| CrowdHuman_val.zip
|
2.4G |
命令行下载:wget http://datasets.blockelite.cn/07.CrowdHuman/CrowdHuman_val.zip
|
| 08.Market-1501 |
1G |
行人重识别 |
| distractors_500k.zip
|
1016M |
命令行下载:wget http://datasets.blockelite.cn08.Market-1501/distractors_500k.zip
|
| 09.OpenSLR_12 |
58G |
语音识别 |
| cifar-10-python.tar.gz
|
163M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/cifar-10-python.tar.gz
|
| dev-clean.tar.gz
|
323M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/dev-clean.tar.gz
|
| dev-other.tar.gz
|
300M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/dev-other.tar.gz
|
| original-books.tar.gz
|
284M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/original-books.tar.gz
|
| raw-metadata.tar.gz
|
32M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/raw-metadata.tar.gz
|
| test-clean.tar.gz
|
331M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/test-clean.tar.gz
|
| test-other.tar.gz
|
314M |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/test-other.tar.gz
|
| train-clean-100.tar.gz
|
6.0G |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/train-clean-100.tar.gz
|
| train-clean-360.tar.gz
|
22G |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/train-clean-360.tar.gz
|
| train-other-500.tar.gz
|
29G |
命令行下载:wget http://datasets.blockelite.cn/09.OpenSLR_12/train-other-500.tar.gz
|
| 10.OpenSLR_11 |
5.2G |
语音识别 |
| 3-gram.arpa.gz
|
725M |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/train-other-500.tar.gz
|
| 3-gram.pruned.1e-7.arpa.gz
|
33M |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/3-gram.pruned.1e-7.arpa.gz
|
| 3-gram.pruned.3e-7.arpa.gz
|
14M |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/3-gram.pruned.3e-7.arpa.gz
|
| 4-gram.arpa.gz
|
1.3G |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/4-gram.arpa.gz
|
| librispeech-lexicon.txt
|
5.4M |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lexicon.txt
|
| librispeech-lm-corpus.tgz
|
1.7G |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lm-corpus.tgz
|
| librispeech-lm-norm.txt.gz
|
1.5G |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-lm-norm.txt.gz
|
| librispeech-vocab.txt
|
1.7M |
命令行下载:wget http://datasets.blockelite.cn/10.OpenSLR_11/librispeech-vocab.txt
|
| 11.Cityscapes |
415G |
包含大量街道图片、视频用来训练识别的数据集。 |
| camera_trainextra.zip
|
7.8M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/camera_trainextra.zip
|
| camera_trainvaltest.zip
|
1.9M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/camera_trainvaltest.zip
|
| disparity_trainextra.zip
|
15G |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/disparity_trainextra.zip
|
| disparity_trainvaltest.zip
|
3.6G |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/disparity_trainvaltest.zip
|
| gtCoarse.zip |
1.3G |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/gtCoarse.zip
|
| gtFine_trainvaltest.zip
|
241M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/gtFine_trainvaltest.zip
|
| leftImg8bit_blurred.zip
|
11G |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_blurred.zip
|
| leftImg8bit_demoVideo.zip
|
7.7M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_demoVideo.zip
|
| leftImg8bit_sequence_trainvaltest.zip
|
1.9M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_sequence_trainvaltest.zip
|
| leftImg8bit_trainextra.zip
|
1.6M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_trainextra.zip
|
| leftImg8bit_trainvaltest.zip
|
8.0K |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/leftImg8bit_trainvaltest.zip
|
| vehicle_trainextra.zip
|
9.5M |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/vehicle_trainextra.zip
|
| vehicle_trainvaltest.zip
|
32K |
命令行下载:wget http://datasets.blockelite.cn/11.Cityscapes/vehicle_trainvaltest.zip
|
| 12.mnist |
12M |
提供灰度手写数字图片 |
| t10k-images-idx3-ubyte.gz
|
1.6M |
命令行下载:wget http://datasets.blockelite.cn/12.mnist/t10k-images-idx3-ubyte.gz
|
| t10k-labels-idx1-ubyte.gz
|
8.0K |
命令行下载:wget http://datasets.blockelite.cn/12.mnist/t10k-labels-idx1-ubyte.gz
|
| train-images-idx3-ubyte.gz
|
9.5M |
命令行下载:wget http://datasets.blockelite.cn/12.mnist/train-images-idx3-ubyte.gz
|
| train-labels-idx1-ubyte.gz
|
32K |
命令行下载:wget http://datasets.blockelite.cn/12.mnist/train-labels-idx1-ubyte.gz
|
| 13.CUB_200_2011 |
1.1G |
鸟类数据集 |
| CUB_200_2011.tgz
|
1.1G |
命令行下载:wget http://datasets.blockelite.cn/13.CUB_200_2011/CUB_200_2011.tgz
|
| 14.vision.standford |
2.8G |
|
| ImageNetDogs
|
2.8G |
命令行下载:wget http://datasets.blockelite.cn/14.vision.standford/ImageNetDogs
|
| 15.LUNA16 |
47G |
|
| CSVFILES.rar |
9.4M |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/CSVFILES.rar
|
| seg-lungs-LUNA16.rar
|
277M |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/seg-lungs-LUNA16.rar
|
| subset0.rar |
5.0G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset0.rar
|
| subset1.rar |
4.6G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset1.rar
|
| subset2.rar |
3.3G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset2.rar
|
| subset3.rar |
5.1G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset3.rar
|
| subset4.rar |
5.0G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset4.rar
|
| subset5.rar |
4.9G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset5.rar
|
| subset6.rar |
4.8G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset6.rar
|
| subset7.rar |
4.6G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset7.rar
|
| subset8.rar |
4.5G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset8.rar
|
| subset9.rar |
4.9G |
命令行下载:wget http://datasets.blockelite.cn/15.LUNA16/subset9.rar
|
| 16.HIE |
1.4G |
LUNA16数据集是最大公用肺结节数据集LIDC-IDRI的子集,LIDC-IDRI它包括1018个低剂量的肺部CT影像。LIDC-IDRI删除了切片厚度大于3mm和肺结节小于3mm的CT影像,剩下的就是LUNA16数据集了
|
| HIE20labels.zip |
125M |
命令行下载:wget http://datasets.blockelite.cn/16.HIE/HIE20labels.zip
|
| HIE20.zip |
1.2G |
命令行下载:wget http://datasets.blockelite.cn/16.HIE/HIE20.zip
|
| 17.DOTA |
19G |
目标检测数据集,大量航拍图片 |
| test.zip |
6.3G |
命令行下载:wget http://datasets.blockelite.cn/17.DOTA/test.zip
|
| train.zip |
9.6G |
命令行下载:wget http://datasets.blockelite.cn/17.DOTA/train.zip
|
| val.zip |
3.2G |
命令行下载:wget http://datasets.blockelite.cn/17.DOTA/val.zip
|
| 18.COCO_2014 |
26G |
微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 |
| annotations_trainval2014.zip
|
242M |
命令行下载:wget http://datasets.blockelite.cn/18.COCO_2014/annotations_trainval2014.zip
|
| image_info_test2014.zip
|
748K |
命令行下载:wget http://datasets.blockelite.cn/18.COCO_2014/image_info_test2014.zip
|
| test2014.zip |
6.3G |
命令行下载:wget http://datasets.blockelite.cn/18.COCO_2014/test2014.zip
|
| train2014.zip
|
13G |
命令行下载:wget http://datasets.blockelite.cn/18.COCO_2014/train2014.zip
|
| val2014.zip |
6.2G |
命令行下载:wget http://datasets.blockelite.cn/18.COCO_2014/val2014.zip
|
| 19.COCO_2015 |
13G |
微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 |
| image_info_test2015.zip
|
1.9M |
命令行下载:wget http://datasets.blockelite.cn/19.COCO_2015/image_info_test2015.zip
|
| test2015.zip |
13G |
命令行下载:wget http://datasets.blockelite.cn/19.COCO_2015/test2015.zip
|
| 20.COCO_2017 |
28G |
微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 |
| annotations_trainval2017.zip
|
242M |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/annotations_trainval2017.zip
|
| image_info_test2017.zip
|
1.1M |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/image_info_test2017.zip
|
| image_info_unlabeled2017.zip
|
4.7M |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/image_info_unlabeled2017.zip
|
| panoptic_annotations_trainval2017.zip
|
821M |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/panoptic_annotations_trainval2017.zip
|
| stuff_annotations_trainval2017.zip
|
1.1G |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/stuff_annotations_trainval2017.zip
|
| test2017.zip |
6.2G |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/test2017.zip
|
| train2017.zip
|
19G |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/train2017.zip
|
| val2017.zip |
778M |
命令行下载:wget http://datasets.blockelite.cn/20.COCO_2017/val2017.zip
|
| 21.sceneflow |
180G |
所有的数据都是960x540分辨率的立体图片 |
| driving_disparity.tgz
|
9.2G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/driving_disparity.tgz
|
| driving__frames_cleanpass.tar
|
6.3G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/driving__frames_cleanpass.tar
|
| flyingthings3d__disparity.tar.bz2a
|
19G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2a
|
| flyingthings3d__disparity.tar.bz2b
|
19G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2b
|
| flyingthings3d__disparity.tar.bz2c
|
19G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2c
|
| flyingthings3d__disparity.tar.bz2d
|
19G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2d
|
| flyingthings3d__disparity.tar.bz2e
|
13G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__disparity.tar.bz2e
|
| flyingthings3d__frames_cleanpass.taraa
|
9.8G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.taraa
|
| flyingthings3d__frames_cleanpass.tarab
|
9.8G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarab
|
| flyingthings3d__frames_cleanpass.tarac
|
9.8G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarac
|
| flyingthings3d__frames_cleanpass.tarad
|
7.5G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/flyingthings3d__frames_cleanpass.tarad
|
| kitti.zip |
3.5G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/kitti.zip
|
| monkaa__disparity.tar.bz2a
|
15G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/monkaa__disparity.tar.bz2a
|
| monkaa__disparity.tar.bz2b
|
14G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/monkaa__disparity.tar.bz2b
|
| monkaa__frames_cleanpass.tar
|
9.1G |
命令行下载:wget http://datasets.blockelite.cn/21.sceneflow/monkaa__frames_cleanpass.tar
|
| 22.ADEChallenge |
923M |
细粒度用户评论情感分析数据集 |
| ADEChallengeData2016.zip
|
923M |
命令行下载:wget http://datasets.blockelite.cn/22.ADEChallenge/ADEChallengeData2016.zip
|
| 22.AI_challenge |
22G |
细粒度用户评论情感分析数据集 |
| ai_challenger_keypoint_test_a_20180103.zip
|
2.0G |
命令行下载:wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_test_a_20180103.zip
|
| ai_challenger_keypoint_test_b_20180103.zip
|
2.0G |
命令行下载:wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_test_b_20180103.zip
|
| ai_challenger_keypoint_train_20170902.zip
|
15G |
命令行下载:wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_train_20170902.zip
|
| ai_challenger_keypoint_train_annotations_20170909.zip
|
117M |
命令行下载:wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_train_annotations_20170909.zip
|
| ai_challenger_keypoint_validation_20170911.zip
|
2.3G |
命令行下载:wget http://datasets.blockelite.cn/22.AI_challenge/ai_challenger_keypoint_validation_20170911.zip
|
| h36m.zip |
248M |
命令行下载:wget http://datasets.blockelite.cn/22.AI_challenge/h36m.zip
|
| 23.KITTI |
599G |
KITTI主要是针对自动驾驶领域的图像处理技术,主要应用在自动驾驶感知和预测方面,其中也涉及定位和SLAM技术 |
| kitti_data.zip |
162G |
命令行下载:wget http://datasets.blockelite.cn/23.KITTI/kitti_data.zip
|
| KITTI.zip |
437G |
命令行下载:wget http://datasets.blockelite.cn/23.KITTI/KITTI.zip
|
| 24.cifar-10 |
163M |
CIFAR-10是一个更接近普适物体的彩色图像数据集 |
| cifar-10-python.tar.gz
|
163M |
命令行下载:wget http://datasets.blockelite.cn/24.cifar-10/cifar-10-python.tar.gz
|
| 25.Places |
127G |
场景识别数据集 |
| test_large.tar |
20G |
命令行下载:wget http://datasets.blockelite.cn/25.Places/test_large.tar
|
| train_large_places365standard.tar
|
105G |
命令行下载:wget http://datasets.blockelite.cn/25.Places/train_large_places365standard.tar
|
| val_large.tar |
2.2G |
命令行下载:wget http://datasets.blockelite.cn/25.Places/val_large.tar
|
| 26.img_align_celeba |
1.4G |
人脸数据集 |
| img_align_celeba.zip
|
1.4G |
命令行下载:wget http://datasets.blockelite.cn/26.img_align_celeba/img_align_celeba.zip
|
| 27.MATLAB |
12G |
|
| MATLAB.tar |
12G |
命令行下载:wget http://datasets.blockelite.cn/27.MATLAB/MATLAB.tar
|
| 28.mpii_human_pose_v1 |
12G |
人体姿势估计数据集 |
| mpii_human_pose_v1.tar.gz
|
12G |
命令行下载:wget http://datasets.blockelite.cn/28.mpii_human_pose_v1/mpii_human_pose_v1.tar.gz
|
| 29.Kinetics-400 |
132G |
包括了四百种的人体动作类别 |
| label.zip |
23M |
命令行下载:wget http://datasets.blockelite.cn/29.Kinetics-400/label.zip
|
| raw-part.zip
|
132G |
命令行下载:wget http://datasets.blockelite.cn/29.Kinetics-400/raw-part.zip
|
| 30.something-somethingV2 |
19G |
大型的带有标签的记录了人类与日常生活中的一些物体之间的动作数据集 |
| 20bn-something-something-v2.tar.gz
|
19G |
命令行下载:wget http://datasets.blockelite.cn/30.something-somethingV2/20bn-something-something-v2.tar.gz
|
| something-something-v2-labels.json
|
12K |
命令行下载:wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-labels.json
|
| something-something-v2-test.json
|
440K |
命令行下载:wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-test.json
|
| something-something-v2-train.json
|
25M |
命令行下载:wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-train.json
|
| something-something-v2-validation.json
|
3.6M |
命令行下载:wget http://datasets.blockelite.cn/30.something-somethingV2/something-something-v2-validation.json
|
| 32.somethingsomethingV1 |
24G |
大型的带有标签的记录了人类与日常生活中的一些物体之间的动作数据集 |
| 20bn-something-something-v1.tar.gz
|
954M |
命令行下载:wget http://datasets.blockelite.cn/32.somethingsomethingV1/20bn-something-something-v1-00.tar.gz
|
| something-something-v1-labels.csv
|
8.0K |
命令行下载:wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-labels.csv
|
| something-something-v1-test.csv
|
72K |
命令行下载:wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-test.csv
|
| something-something-v1-train.csv
|
4.0M |
命令行下载:wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-train.csv
|
| something-something-v1-validation.csv
|
520K |
命令行下载:wget http://datasets.blockelite.cn/32.somethingsomethingV1/something-something-v1-validation.csv
|
| 33.coco_2018 |
89G |
微软发布的COCO数据库是一个大型图像数据集,专为对象检测、分割、人体关键点检测、语义分割和字幕生成而设计 |
| 2018-04-27_bottom-up-attention_fixed_36.zip
|
58G |
命令行下载:wget http://datasets.blockelite.cn/33.coco_2018/2018-04-27_bottom-up-attention_fixed_36.zip
|
| 2018-04-27_bottom-up-attention_fixed_36-small.zip
|
31G |
命令行下载:wget http://datasets.blockelite.cn/33.coco_2018/2018-04-27_bottom-up-attention_fixed_36-small.zip
|
| 34.LUSN |
157G |
LSUNDataset是一个大规模图像数据集,其基于人类在循环中进行深度学习的构建,包含10个场景类别和20个对象类别,共计约100万张标记图像
|
| bedroom.zip |
43G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/bedroom.zip
|
| bridge.zip |
16G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/bridge.zip
|
| church_outdoor.zip
|
2.3G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/church_outdoor.zip
|
| classroom.zip |
3.1G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/classroom.zip
|
| conference_room.zip
|
3.8G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/conference_room.zip
|
| dining_room.zip |
11G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/dining_room.zip
|
| kitchen.zip |
34G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/kitchen.zip
|
| living_room.zip |
22G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/living_room.zip
|
| restaurant.zip |
13G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/restaurant.zip
|
| tower.zip |
12G |
命令行下载:wget http://datasets.blockelite.cn/34.LUSN/tower.zip
|
| 35.iccv-workshop |
32G |
|
| Label.tar |
924K |
命令行下载:wget http://datasets.blockelite.cn/35.iccv-workshop/Label.tar
|
| Test.tar |
9.5G |
命令行下载:wget http://datasets.blockelite.cn/35.iccv-workshop/Test.tar
|
| Train.tar |
19G |
命令行下载:wget http://datasets.blockelite.cn/35.iccv-workshop/Train.tar
|
| Val.tar |
3.2G |
命令行下载:wget http://datasets.blockelite.cn/35.iccv-workshop/Val.tar
|
| 36.multicoil_challenge |
56G |
|
| brain_multicoil_challenge.tar.gz
|
37G |
命令行下载:wget http://datasets.blockelite.cn/36.multicoil_challenge/brain_multicoil_challenge.tar.gz
|
| transfer_42953_files_f8be9cd5.zip
|
19G |
命令行下载:wget http://datasets.blockelite.cn/36.multicoil_challenge/transfer_42953_files_f8be9cd5.zip
|
| 37.human3.6m |
26G |
3D人体姿态估计 |
| h36m_annot.tar
|
349M |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/h36m_annot.tar
|
| S11.tar |
2.7G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S11.tar
|
| S1.tar |
3.0G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S1.tar
|
| S5.tar |
4.8G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S5.tar
|
| S6.tar |
3.1G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S6.tar
|
| S7.tar |
4.9G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S7.tar
|
| S8.tar |
3.2G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S8.tar
|
| S9.tar |
3.8G |
命令行下载:wget http://datasets.blockelite.cn/37.human3.6m/S9.tar
|
| 38.gat5 |
58G |
深度学习与自动驾驶领域的数据集 |
| 01_images.zip |
5.8G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/01_images.zip
|
| 01_labels.zip |
70M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/01_labels.zip
|
| 02_images.zip |
5.8G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/02_images.zip
|
| 02_labels.zip |
72M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/02_labels.zip
|
| 03_images.zip |
5.8G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/03_images.zip
|
| 03_labels.zip |
68M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/03_labels.zip
|
| 04_images.zip |
5.6G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/04_images.zip
|
| 04_labels.zip |
69M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/04_labels.zip
|
| 05_images.zip |
5.7G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/05_images.zip
|
| 05_labels.zip |
77M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/05_labels.zip
|
| 06_images.zip |
5.4G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/06_images.zip
|
| 06_labels.zip |
70M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/06_labels.zip
|
| 07_images.zip |
5.7G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/07_images.zip
|
| 07_labels.zip |
71M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/07_labels.zip
|
| 08_images.zip |
6.0G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/08_images.zip
|
| 08_labels.zip |
71M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/08_labels.zip
|
| 09_images.zip |
5.8G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/09_images.zip
|
| 09_labels.zip |
72M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/09_labels.zip
|
| 10_images.zip |
5.4G |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/10_images.zip
|
| 10_labels.zip |
69M |
命令行下载:wget http://datasets.blockelite.cn/38.gat5/10_labels.zip
|
| 39.sceneflow |
219G |
|
| Driving.tar |
24G |
命令行下载:wget http://datasets.blockelite.cn/39.sceneflow/Driving.tar
|
| FlyingThings3D.tar
|
146G |
命令行下载:wget http://datasets.blockelite.cn/39.sceneflow/FlyingThings3D.tar
|
| Monkaa.tar |
50G |
命令行下载:wget http://datasets.blockelite.cn/39.sceneflow/Monkaa.tar
|
| 40.ntu-rgb+d60_skeleton |
5.8G |
数据集提供了60种动作,3种拍摄角度,多种互动场景和多种演员设置(年龄、性别覆盖比较全面),同一动作可能重复表演(站姿,坐姿) |
| nturgbd_skeletons_s001_to_s017.zip
|
5.8G |
命令行下载:wget http://datasets.blockelite.cn/40.ntu-rgb+d60_skeleton/nturgbd_skeletons_s001_to_s017.zip
|
| 41.urban3D |
18G |
城市规模点云数据集 |
| data_release.zip
|
18G |
命令行下载:wget http://datasets.blockelite.cn/41.urban3D/data_release.zip
|
| 42.Tencent_AILab_ChineseEmbedding |
6.4G |
腾讯开源词向量 |
| Tencent_AILab_ChineseEmbedding.tar.gz
|
6.4G |
命令行下载:wget http://datasets.blockelite.cn/42.Tencent_AILab_ChineseEmbedding/Tencent_AILab_ChineseEmbedding.tar.gz
|
| 43.nuScenes |
195G |
是自动驾驶公司nuTonomy建立的大规模自动驾驶数据集,该数据集不仅包含了Camera和Lidar,还记录了雷达数据 |
| v1.0-mini.tar |
3.9G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-mini.tar
|
| v1.0-test_blobs_lidar.tgz
|
23G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-test_blobs_lidar.tgz
|
| v1.0-test_meta.tgz
|
68M |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-test_meta.tgz
|
| v1.0-trainval01_blobs_lidar.tgz
|
13G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval01_blobs_lidar.tgz
|
| v1.0-trainval01_keyframes.tar
|
4.3G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval01_keyframes.tar
|
| v1.0-trainval02_blobs_lidar.tgz
|
13G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval02_blobs_lidar.tgz
|
| v1.0-trainval02_keyframes.tar
|
4.0G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval02_keyframes.tar
|
| v1.0-trainval03_blobs_lidar.tgz
|
13G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval03_blobs_lidar.tgz
|
| v1.0-trainval03_keyframes.tgz
|
4.0G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval03_keyframes.tgz
|
| v1.0-trainval04_blobs_lidar.tgz
|
14G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval04_blobs_lidar.tgz
|
| v1.0-trainval04_keyframes.tgz
|
4.3G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval04_keyframes.tgz
|
| v1.0-trainval05_blobs_lidar.tgz
|
13G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval05_blobs_lidar.tgz
|
| v1.0-trainval05_keyframes.tgz
|
3.7G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval05_keyframes.tgz
|
| v1.0-trainval06_blobs_lidar.tgz
|
12G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval06_blobs_lidar.tgz
|
| v1.0-trainval06_keyframes.tgz
|
3.6G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval06_keyframes.tgz
|
| v1.0-trainval07_blobs_lidar.tgz
|
13G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval07_blobs_lidar.tgz
|
| v1.0-trainval07_keyframes.tgz
|
3.9G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval07_keyframes.tgz
|
| v1.0-trainval08_blobs_lidar.tgz
|
13G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval08_blobs_lidar.tgz
|
| v1.0-trainval08_keyframes.tgz
|
4.0G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval08_keyframes.tgz
|
| v1.0-trainval09_blobs_lidar.tgz
|
14G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval09_blobs_lidar.tgz
|
| v1.0-trainval09_keyframes.tgz
|
4.5G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval09_keyframes.tgz
|
| v1.0-trainval10_blobs_lidar.tgz
|
14G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval10_blobs_lidar.tgz
|
| v1.0-trainval10_keyframes.tgz
|
5.8G |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval10_keyframes.tgz
|
| v1.0-trainval_meta.tgz
|
440M |
命令行下载:wget http://datasets.blockelite.cn/43.nuScenes/v1.0-trainval_meta.tgz
|
| 44.Scene Flow Datasets数据集: FlyingThings3D |
433G |
(官网
更多介绍)
|
| FlyingChairs.zip
|
31G |
命令行下载:wget http://datasets.blockelite.cn/44.FlyingThings3D/FlyingChairs.zip
|
| flyingthings3d__frames_cleanpass.tar
|
37G |
命令行下载:wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__frames_cleanpass.tar
|
| flyingthings3d__frames_finalpass.tar
|
43G |
命令行下载:wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__frames_finalpass.tar
|
| flyingthings3d__optical_flow.tar.bz2
|
311G |
命令行下载:wget http://datasets.blockelite.cn/44.FlyingThings3D/flyingthings3d__optical_flow.tar.bz2
|
| hd1k_full_package.zip
|
7.9G |
命令行下载:wget http://datasets.blockelite.cn/44.FlyingThings3D/hd1k_full_package.zip
|
| MPI-Sintel-complete.zip
|
5.3G |
命令行下载:wget http://datasets.blockelite.cn/44.FlyingThings3D/MPI-Sintel-complete.zip
|
| 45.isbi_2019 |
18G |
|
| abd_data.zip |
6.1G |
命令行下载:wget http://datasets.blockelite.cn/45.isbi_2019/abd_data.zip
|
| Faster-ILOD.tar.gz
|
2.0G |
命令行下载:wget http://datasets.blockelite.cn/45.isbi_2019/Faster-ILOD.tar.gz
|
| PnpAda_release_data.zip
|
9.4G |
命令行下载:wget http://datasets.blockelite.cn/45.isbi_2019/PnpAda_release_data.zip
|
| 46.ipdray |
11G |
|
| pidray.zip |
11G |
命令行下载:wget http://datasets.blockelite.cn/46.ipdray/pidray.zip
|
| 47.winter21_whole |
1.1T |
|
| winter21_whole.tar.gz
|
1.1T |
命令行下载:wget http://datasets.blockelite.cn/47.winter21_whole/winter21_whole.tar.gz
|
| 48.isbi_2019 |
8.7G |
|
| aidatatang_200zh.tgz
|
|
命令行下载:wget http://datasets.blockelite.cn/48.aidatatang_200zh/aidatatang_200zh.tgz
|
| 49.AISHELL-3 |
19G |
AISHELL-3是北京壳牌科技有限公司推出的大型高保真多人普通话语音语料库,可用于训练多人文语转换(TTS)系统。该语料库包含218名母语为汉语普通话的人大约85小时的情感中立录音,共88035条话语。他们的辅助属性,如性别、年龄组和母语口音,都在语料库中明确标记和提供。相应地,随录音一起提供汉字和拼音水平的成绩单。通过专业的语音注释和严格的声调和韵律质量检测,单词和声调转录准确率达到98%以上。
|
| data_aishell3.tgz
|
|
命令行下载:wget http://datasets.blockelite.cn/49.AISHELL-3/data_aishell3.tgz
|
| 50.market1501 |
19G |
用于行人重识别 |
| Market-1501-v15.09.15.zip
|
|
命令行下载:wget http://datasets.blockelite.cn/50.market1501/Market-1501-v15.09.15.zip
|
| 51.flickr_30k |
4.2G |
图像标注(更多介绍) |
| flickr30k-images.tar
|
|
命令行下载:wget http://datasets.blockelite.cn/51.flickr_30k/flickr30k-images.tar
|
| flickr30k.tar.gz
|
|
命令行下载:wget http://datasets.blockelite.cn/51.flickr_30k/flickr30k.tar.gz
|
| flickr30k_test.py
|
|
命令行下载:wget http://datasets.blockelite.cn/51.flickr_30k/flickr30k_test.py
|
| 52.wikiart |
26G |
|
| wikiart.zip |
|
命令行下载:wget http://datasets.blockelite.cn/52.wikiart/wikiart.zip
|
| 53.bdd100k |
14G |
大规模、多样化的驾驶视频数据集(更多介绍) |
| bdd100k_drivable_maps.zip |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_drivable_maps.zip
|
| bdd100k_files.xml |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_files.xml
|
| bdd100k_images.zip |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_images.zip
|
| bdd100k_jp2.zip |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_jp2.zip
|
| bdd100k_labels.zip |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_labels.zip
|
| bdd100k_meta.sqlite |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_meta.sqlite
|
| bdd100k_meta.xml |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_meta.xml
|
| bdd100k_seg.zip |
|
命令行下载:wget http://datasets.blockelite.cn/53.bdd100k/bdd100k_seg.zip
|
| 54.scannet |
582G |
对室内场景进行丰富注释的 3D 重建(官网) |
| scannetv2-labels.combined.tsv |
|
命令行下载:wget http://datasets.blockelite.cn/54.scannet/scannetv2-labels.combined.tsv
|
| scans |
|
命令行下载:wget -m -np -nH --cut-dirs=1 -e robots=off -R "index.html*" http://datasets.blockelite.cn/54.scannet/scans
|
| scans_test |
|
命令行下载:wget -m -np -nH --cut-dirs=1 -e robots=off -R "index.html*" http://datasets.blockelite.cn/54.scannet/scans_test
|
| tasks |
|
命令行下载:wget -m -np -nH --cut-dirs=1 -e robots=off -R "index.html*" http://datasets.blockelite.cn/54.scannet/tasks
|
| 55.GOT-10k |
72G |
GOT-10k:通用对象跟踪基准,用于野外通用对象跟踪的大型、高多样性、一次性数据库(官网) |
|
|
命令行下载:wget -m -np -nH --cut-dirs=1 -e robots=off -R "index.html*" http://datasets.blockelite.cn/55.GOT-10k/
|
| 56.TrackingNet |
227G |
野外对象跟踪的大规模数据集和基准(官网) |
|
|
命令行下载:wget -m -np -nH --cut-dirs=1 -e robots=off -R "index.html*" http://datasets.blockelite.cn/56.TrackingNet/
|
| 57.LaSOT |
227G |
大规模单目标跟踪的高质量基准(更多介绍)
|
|
|
命令行下载:wget -m -np -nH --cut-dirs=1 -e robots=off -R "index.html*" http://datasets.blockelite.cn/57.LaSOT/
|