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各类图像数据集下载地址
反代加速请参见另一篇
- 官网
- https://cocodataset.org/#home
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- 2014 Train images [83K/13GB]:
- http://images.cocodataset.org/zips/train2014.zip
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- 2014 Val images [41K/6GB]:
- http://images.cocodataset.org/zips/val2014.zip
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- 2014 Test images [41K/6GB]:
- http://images.cocodataset.org/zips/test2014.zip
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- 2015 Test images [81K/12GB]:
- http://images.cocodataset.org/zips/test2015.zip
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- 2017 Train images [118K/18GB]:
- http://images.cocodataset.org/zips/train2017.zip
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- 2017 Val images [5K/1GB]:
- http://images.cocodataset.org/zips/val2017.zip
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- 2017 Test images [41K/6GB]:
- http://images.cocodataset.org/zips/test2017.zip
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- 2017 Unlabeled images [123K/19GB]:
- http://images.cocodataset.org/zips/unlabeled2017.zip
Annotations
- 2014 Train/Val annotations [241MB]:
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- http://images.cocodataset.org/annotations/annotations_trainval2014.zip
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- 2014 Testing Image info [1MB]:
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- http://images.cocodataset.org/annotations/image_info_test2014.zip
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- 2015 Testing Image info [2MB]:
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- http://images.cocodataset.org/annotations/image_info_test2015.zip
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- 2017 Train/Val annotations [241MB]:
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- http://images.cocodataset.org/annotations/annotations_trainval2017.zip
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- 2017 Stuff Train/Val annotations [1.1GB]:
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- http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip
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- 2017 Panoptic Train/Val annotations [821MB]:
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- http://images.cocodataset.org/annotations/panoptic_annotations_trainval2017.zip
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- 2017 Testing Image info [1MB]:
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- http://images.cocodataset.org/annotations/image_info_test2017.zip
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- 2017 Unlabeled Image info [4MB]:
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- http://images.cocodataset.org/annotations/image_info_unlabeled2017.zip
官网
- http://www.cvlibs.net/datasets/kitti/
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- left color images of object data set (12 GB):
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- https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_image_2.zip
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- right color images, if you want to use stereo information (12 GB):
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- https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_image_3.zip
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- Velodyne point clouds, if you want to use laser information (29 GB):
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- https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_velodyne.zip
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- training labels of object data set (5 MB):
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- https://s3.eu-central-1.amazonaws.com/avg-kitti/data_object_label_2.zip
MPII
官网
- http://human-pose.mpi-inf.mpg.de/#download
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- Images (12.9 GB)
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- https://datasets.d2.mpi-inf.mpg.de/andriluka14cvpr/mpii_human_pose_v1.tar.gz
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- Annotations (12.5 MB)
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- https://datasets.d2.mpi-inf.mpg.de/andriluka14cvpr/mpii_human_pose_v1_u12_2.zip
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