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| .. | ||
| log_parser | ||
| windows | ||
| README.md | ||
| dice_label.sh | ||
| gen_anchors.py | ||
| gen_tactic.sh | ||
| get_coco_dataset.sh | ||
| get_imagenet_train.sh | ||
| get_openimages_dataset.py | ||
| imagenet_label.sh | ||
| kmeansiou.c | ||
| reval_voc.py | ||
| reval_voc_py3.py | ||
| voc_eval.py | ||
| voc_eval_py3.py | ||
| voc_label.py | ||
| voc_label_difficult.py | ||
README.md
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
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
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/
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/