描述：ImageNet 100类数据集。参考：https://github.com/HobbitLong/CMC/blob/master/imagenet100.txt
链接：
https://pan.baidu.com/s/1qMPPwvn2Ivfbt77YK0rGwQ?pwd=e16x
提取码：e16x
描述： Based on community feedback, in 2017 the training/validation split was changed from 83K/41K to 118K/5K. The new split uses the same images and annotations. The 2017 test set is a subset of 41K images of the 2015 test set. Additionally, the 2017 release contains a new unannotated dataset of 123K images.
链接：
https://pan.baidu.com/s/12bXmvxw2qw2Do2ui0DCZMA?pwd=d86w
提取码：d86w
描述：密集人群中行人跟踪数据集（多目标跟踪）
链接：
https://pan.baidu.com/s/1dPZSuxLf3UbJLKNUTrpEyg?pwd=kv5r
提取码：kv5r
描述： Semantic Understanding of Urban Street Scenes
链接：
https://pan.baidu.com/s/1Z0wHFak-B3rBfNpar76_wQ?pwd=cyc2
提取码：cyc2
描述： The CIFAR-10 dataset (Canadian Institute for Advanced Research, 10 classes) is a subset of the Tiny Images dataset and consists of 60000 32x32 color images. The images are labelled with one of 10 mutually exclusive classes: airplane, automobile (but not truck or pickup truck), bird, cat, deer, dog, frog, horse, ship, and truck (but not pickup truck). There are 6000 images per class with 5000 training and 1000 testing images per class.
链接：
https://pan.baidu.com/s/1GwKxoVQcF6MVm2BntIf9GA?pwd=reag
提取码：reag