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Datasets:
Pascal VOC: http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html
MS COCO: http://cocodataset.org/#download
ImageNet: http://imagenet.stanford.edu/download.php
ImageNet (ILSVRC2012): http://www.image-net.org/challenges/LSVRC/2012/nonpub-downloads
ImageNet (ILSVRC2015): http://image-net.org/small/download.php
Open Images: https://storage.googleapis.com/openimages/web/download.html
Cityscapes: https://www.cityscapes-dataset.com/
Object Tracking Benchmark: http://cvlab.hanyang.ac.kr/tracker_benchmark/datasets.html
MOT (Multiple object tracking benchmark): https://motchallenge.net/
VOT (Visual object tracking): http://www.votchallenge.net/challenges.html
FREE FLIR Thermal Dataset (infrared): https://www.flir.eu/oem/adas/adas-dataset-form/
MARS: http://www.liangzheng.com.cn/Project/project_mars.html
Market-1501: http://www.liangzheng.org/Project/project_reid.html
German Traffic Sign Recognition Benchmark: http://benchmark.ini.rub.de/
Labeled Faces in the Wild: http://vis-www.cs.umass.edu/lfw/
Core50: https://vlomonaco.github.io/core50/
Visual Question Answering: https://visualqa.org/download.html
Large Movie Review Dataset: http://ai.stanford.edu/~amaas/data/sentiment/
KITTI (for autonomous driving): http://www.cvlibs.net/datasets/kitti/
nuScenes (for autonomous driving): https://www.nuscenes.org/overview
Wikipedia's List of datasets: https://en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research
Other datasets (Music, Natural Images, Artificial Datasets, Faces, Text, Speech, Recommendation Systems, Misc): http://deeplearning.net/datasets/
25 datasets: https://www.analyticsvidhya.com/blog/2018/03/comprehensive-collection-deep-learning-datasets/
List of datasets: https://riemenschneider.hayko.at/vision/dataset/index.php
Another list of datasets: http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm
Pedestrian DATASETs for Vision based Detection and Tracking: https://hemprasad.wordpress.com/2014/11/08/pedestrian-datasets-for-vision-based-detection-and-tracking/
TrackingNet: https://tracking-net.org/
RGB, RGBD, Texture-mapped 3D mesh models: http://www.ycbbenchmarks.com/