各类图像数据集下载地址

各类图像数据集下载地址

反代加速请参见另一篇

COCO

Images

官网
https://cocodataset.org/#home 

2014 Train images [83K/13GB]:
http://images.cocodataset.org/zips/train2014.zip

2014 Val images [41K/6GB]:
http://images.cocodataset.org/zips/val2014.zip

2014 Test images [41K/6GB]:
http://images.cocodataset.org/zips/test2014.zip

2015 Test images [81K/12GB]:
http://images.cocodataset.org/zips/test2015.zip

2017 Train images [118K/18GB]:
http://images.cocodataset.org/zips/train2017.zip

2017 Val images [5K/1GB]:
http://images.cocodataset.org/zips/val2017.zip

2017 Test images [41K/6GB]:
http://images.cocodataset.org/zips/test2017.zip

2017 Unlabeled images [123K/19GB]:
http://images.cocodataset.org/zips/unlabeled2017.zip

Annotations

2014 Train/Val annotations [241MB]:
http://images.cocodataset.org/annotations/annotations_trainval2014.zip

2014 Testing Image info [1MB]:
http://images.cocodataset.org/annotations/image_info_test2014.zip

2015 Testing Image info [2MB]:
http://images.cocodataset.org/annotations/image_info_test2015.zip

2017 Train/Val annotations [241MB]:
http://images.cocodataset.org/annotations/annotations_trainval2017.zip

2017 Stuff Train/Val annotations [1.1GB]:
http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip

2017 Panoptic Train/Val annotations [821MB]:
http://images.cocodataset.org/annotations/panoptic_annotations_trainval2017.zip

2017 Testing Image info [1MB]:
http://images.cocodataset.org/annotations/image_info_test2017.zip

2017 Unlabeled Image info [4MB]:
http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip

KITTI

官网
http://www.cvlibs.net/datasets/kitti/

left color images of object data set (12 GB):
https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_image_2.zip

right color images, if you want to use stereo information (12 GB):
https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_image_3.zip

Velodyne point clouds, if you want to use laser information (29 GB):
https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_velodyne.zip

training labels of object data set (5 MB):
https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_label_2.zip

(只截取部分，详细请前往
官网
或 https://s3.eu-central-1.amazonaws.com/avg-kitti/)

MPII

官网
http://human-pose.mpi-inf.mpg.de/#download

Images (12.9 GB)
https://datasets.d2.mpi-inf.mpg.de/andriluka14cvpr/mpii_human_pose_v1.tar.gz


Annotations (12.5 MB)
https://datasets.d2.mpi-inf.mpg.de/andriluka14cvpr/mpii_human_pose_v1_u12_2.zip