深度学习--数据集(一)

一、大学公开数据集

(Stanford)69G大规模无人机(校园)图像数据集【Stanford】
http://cvgl.stanford.edu/projects/uav_data/
人脸素描数据集【CUHK】
http://mmlab.ie.cuhk.edu.hk/archive/facesketch.html
自然语言推理(文本蕴含标记)数据集【NYU】
https://www.nyu.edu/projects/bowman/multinli/
Berkeley图像分割数据集BSDS500【Berkeley】
https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/resources.html
宠物图片(分割)数据集【Oxford】
http://www.robots.ox.ac.uk/~vgg/data/pets/
发布ADE20K场景感知/解析/分割/多目标识别数据集【MIT】
https://groups.csail.mit.edu/vision/datasets/ADE20K/
多模态二元行为数据集【GaTech】
http://www.cbi.gatech.edu/mmdb/

二、计算机视觉／图像／视频数据集

ashion-MNIST风格服饰图像数据集【肖涵】
https://github.com/zalandoresearch/fashion-mnist
大型(50万)LOGO标志数据集
https://data.vision.ee.ethz.ch/cvl/lld/
4D扫描(60fps移动非刚性物体3D扫描)数据集【D-FAUST】
http://dfaust.is.tue.mpg.de
基于MNIST的视觉计数合成数据集Counting MNIST
http://fomoro.com/tools/counting-mnist/
YouTube MV视频数据集【Keunwoo Choi】
https://github.com/keunwoochoi/YouTube-music-video-5M
计算机视觉合成数据集/工具大列表【unrealcv】
https://github.com/unrealcv/synthetic-computer-vision
动物属性标记数据集【ChristophH. Lampert／Daniel Pucher／JohannesDostal】
http://cvml.ist.ac.at/AwA2/
日本漫画数据集Manga109
http://dl.acm.org/citation.cfm?doid=3011549.3011551
俯拍舞蹈视频数据集
http://homepages.inf.ed.ac.uk/rbf/CEILIDHDATA/
Pixiv(着色)图片数据集【Jerry Li】
https://github.com/jerryli27/pixiv_dataset
e-VDS视频数据集
https://engineering.purdue.edu/elab/eVDS/#download
Quick, Draw!简笔画涂鸦数据集
https://github.com/googlecreativelab/quickdraw-dataset
简笔画涂鸦数据集【hardmaru】
https://github.com/hardmaru/sketch-rnn-datasets
服饰人像生成模型(&Chictopia10K[HumanParsing]时尚人像解析数据集)【Christoph Lassner／Gerard Pons-Moll／Peter V. Gehler】
http://files.is.tue.mpg.de/classner/gp/
COCO像素级标注数据集
https://github.com/nightrome/cocostuff
大规模街道级图片(分割)数据集【Peter Kontschieder】
http://blog.mapillary.com/product/2017/05/03/mapillary-vistas-dataset.html
大规模日语图片描述数据集
https://github.com/STAIR-Lab-CIT/STAIR-captions
Cityscapes街景语义分割数据集（50城30类5k细标20k粗标图片及标记视频）
https://github.com/mcordts/cityscapesScripts
(街头)时尚服饰数据集(2000+标注图片)
https://github.com/bearpaw/clothing-co-parsing
PyTorch实现的VOC2012数据集Pixel-wise目标分割【BodoKaiser】
https://github.com/bodokaiser/piwise
Twenty Billion Neurons对象复杂运动与交互视频数据集【Nikita Johnson】
https://www.re-work.co/blog/the-something-something-video-dataset

三、文本／评价／问答／自然语言数据集

(20万)英文笑话数据集【TaivoPungas】
https://github.com/taivop/joke-dataset
机器学习保险行业问答开放数据集【HainWang】
https://github.com/shuzi/insuranceQA
保险行业问答(QA)数据集【Minwei Feng】
https://github.com/shuzi/insuranceQA
Stanford NLP发布新的多轮、跨域、任务导向对话数据集【Mihail Eric】
https://github.com/keunwoochoi/YouTube-music-video-5M
实体/名词语义关系标记数据集【David S. Batista】
https://github.com/davidsbatista/Annotated-Semantic-Relationships-Datasets
NLVR：自然语言基础数据集(对象分组、数量、比较及空间关系推理)
http://lic.nlp.cornell.edu/nlvr/
2.8万文章/10万问题大规模(英语考试)阅读理解数据集
https://github.com/qizhex/RACE_AR_baselines
错误拼写数据集
http://www.dcs.bbk.ac.uk/~ROGER/corpora.html
文本简化数据集
http://www.cs.pomona.edu/~dkauchak/simplification/
英语词/句/语义框架框架标注数据集FrameNet
https://framenet.icsi.berkeley.edu/fndrupal/
(又一个)自然语言处理(NLP)数据集列表【Nicolas Iderhoff】
https://github.com/niderhoff/nlp-datasets
跨语种/多样式/多粒度文本相似性检测数据集
https://github.com/FerreroJeremy/Cross-Language-Dataset
Quora数据集：400000行潜在重复问题
http://qim.ec.quoracdn.net/quora_duplicate_questions.tsv
文本分类数据集
http://disi.unitn.it/moschitti/corpora.htm
Frames：Maluuba对话数据集
https://datasets.maluuba.com/Frames/dl
跨域(Amazon商品评论)情感数据集
http://www.cs.jhu.edu/~mdredze/datasets/sentiment/
语义网机器学习系统评价/基准数据集集合
http://dws.informatik.uni-mannheim.de/en/research/a-collection-of-benchmark-datasets-for-ml

四、常用人脸数据集

[1]CAS-PEAL Face Database
http://www.jdl.ac.cn/peal/index.html
[2] FaceRecognition Grand Challenge (FRGC) v2.0
https://www.nist.gov/programs-projects/face-recognition-grand-challenge-frgc
[3] LabeledFaces in the Wild (LFW)
http://vis-www.cs.umass.edu/lfw/
[4] CASIAWebFace Database
http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html
[5] YouTubeCelebrities Face Tracking and RecognitionDataset (YTC)
http://seqamlab.com/youtube-celebrities-face-tracking-and-recognition-dataset/
[6] YouTubeFaces DB
http://www.cs.tau.ac.il/~wolf/ytfaces/
[7] Honda/UCSDVideo Database
http://www.lvc.ele.puc-rio.br/projects/video_surveillance/databases.html
[8] COXFace Database (COX)
http://vipl.ict.ac.cn/resources/datasets/cox-face-dataset/
[9] Pointand Shoot Face Recognition Challenge (PaSC)
https://www.nist.gov/programs-projects/point-and-shoot-face-recognition-challenge-pasc
[10] WIDER FACE
http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/
[11] MS-Celeb-1M: Challenge of Recognizing OneMillionCelebrities in the Real World
https://www.microsoft.com/en-us/research/project/ms-celeb-1m-challenge-recognizing-one-million-celebrities-real-world/
[12] Large-scale CelebFaces Attributes (CelebA) Dataset
http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
人脸资源如下：
Papers

1. DeepFace.A work from Facebook.
   https://www.cs.toronto.edu/~ranzato/publications/taigman_cvpr14.pdf
2. FaceNet.A work from Google.
   http://www.cvfoundation.org/openaccess/content_cvpr_2015/app/1A_089.pdf
3. One Millisecond Face Alignment with an Ensemble ofRegression Trees. Dlib implements the algorithm.
   http://www.csc.kth.se/~vahidk/papers/KazemiCVPR14.pdf
4. DeepID
   http://mmlab.ie.cuhk.edu.hk/pdf/YiSun_CVPR14.pdf
5. DeepID2
   http://arxiv.org/abs/1406.4773
6. DeepID3
   http://arxiv.org/abs/1502.00873
7. Learning Face Representation from Scratch
   http://arxiv.org/abs/1411.7923
8. Face Search at Scale: 80 Million Gallery
   http://arxiv.org/abs/1507.07242
9. A Discriminative Feature Learning Approach for Deep FaceRecognition
   http://ydwen.github.io/papers/WenECCV16.pdf
10. NormFace: L2 Hypersphere Embedding for Face Verification.attention: model released !
    https://arxiv.org/abs/1704.06369
11. SphereFace: Deep Hypersphere Embedding for FaceRecognition
    https://arxiv.org/abs/1704.08063
    Datasets
12. CASIA WebFace Database. 10,575 subjects and494,414 images
    http://www.cbsr.ia.ac.cn/english/CASIA-WebFace-Database.html
13. Labeled Faces in the Wild.13,000 images and5749 subjects
    http://vis-www.cs.umass.edu/lfw/
14. Large-scale CelebFaces Attributes (CelebA) Dataset 202,599images and 10,177 subjects. 5 landmark locations, 40 binary attributes.
    http://mmlab.ie.cuhk.edu.hk/projects/
15. MSRA-CFW. 202,792 images and 1,583 subjects.
    http://research.microsoft.com/en-us/projects/msra-cfw/
16. MegaFace Dataset 1 Million Faces for Recognition at Scale 690,572unique people
    http://megaface.cs.washington.edu/
17. FaceScrub. A Dataset With Over 100,000 Face Images of 530 People.
    http://vintage.winklerbros.net/facescrub.html
18. FDDB.Face Detection and Data Set Benchmark. 5k images.
    http://vis-www.cs.umass.edu/fddb/
19. AFLW.Annotated Facial Landmarks in the Wild: A Large-scale,Real-world Database for Facial Landmark Localization. 25k images.
    https://lrs.icg.tugraz.at/research/aflw/
20. AFW. Annotated Faces in the Wild. ~1k images. 10.3D Mask Attack Dataset. 76500 frames of 17 persons using Kinect RGBD with eyepositions (Sebastien Marcel)
    http://www.ics.uci.edu/~xzhu/face/
21. Audio-visual database for face and speaker recognition.MobileBiometry MOBIO http://www.mobioproject.org/
    https://www.idiap.ch/dataset/mobio
22. BANCA face and voice database. Univ of Surrey
    http://www.ee.surrey.ac.uk/CVSSP/banca/
23. Binghampton Univ 3D static and dynamic facial expressiondatabase. (Lijun Yin, Peter Gerhardstein and teammates)
    http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html
24. The BioID Face Database. BioID group
    https://www.bioid.com/About/BioID-Face-Database
25. Biwi 3D Audiovisual Corpus of Affective Communication. 1000 high quality, dynamic 3D scans of faces, recorded while pronouncing aset of English sentences.
    http://www.vision.ee.ethz.ch/datasets/b3dac2.en.html
26. Cohn-Kanade AU-Coded Expression Database. 500+ expressionsequences of 100+ subjects, coded by activated Action Units (Affect AnalysisGroup, Univ. of Pittsburgh.
    http://www.pitt.edu/~emotion/ck-spread.htm
27. CMU/MIT Frontal Faces . Training set: 2,429faces, 4,548 non-faces; Test set: 472 faces, 23,573 non-faces.
    http://cbcl.mit.edu/software-datasets/FaceData2.html
28. AT&T Database of Faces 400 faces of 40people (10 images per people)
    http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html
    Trained Model
29. openface. Face recognition with Google's FaceNet deep neural network usingTorch.
    https://github.com/cmusatyalab/openface
30. VGG-Face.VGG-Face CNN descriptor. Impressed embedding loss.
    http://www.robots.ox.ac.uk/~vgg/software/vgg_face/
31. SeetaFace Engine. SeetaFace Engine is an open source C++face recognition engine, which can run on CPU with no third-partydependence.
    https://github.com/seetaface/SeetaFaceEngine
32. Caffe-face - Caffe Face is developed for face recognition using deepneural networks.
    https://github.com/ydwen/caffe-face
33. Norm-Face - Norm Face, finetuned from center-face and Light-CNN
    https://github.com/happynear/NormFace
    Tutorial
34. Deep Learning for Face Recognition. Shiguan Shan, Xiaogang Wang, and Ming yang.
    http://valse.mmcheng.net/deep-learning-for-face-recognition/
    Software
35. OpenCV. With some trained face detector models.
    http://opencv.org/
36. dlib. Dlib implements a state-of-the-art of face Alignmentalgorithm.
    http://dlib.net/ml.html
37. ccv. With a state-of-the-art frontal face detector
    https://github.com/liuliu/ccv
38. libfacedetection. A binary library for face detection in images.
    https://github.com/ShiqiYu/libfacedetection
39. SeetaFaceEngine. An open source C++ face recognition engine.
    https://github.com/seetaface/SeetaFaceEngine

Frameworks

1. Caffe
   http://caffe.berkeleyvision.org/
2. Torch7
   https://github.com/torch/torch7
3. Theano
   http://deeplearning.net/software/theano/
4. cuda-convnet
   https://code.google.com/p/cuda-convnet/
5. MXNET
   https://github.com/dmlc/mxnet/
6. Tensorflow
   https://github.com/tensorflow
7. tiny-dnn
   https://github.com/tiny-dnn/tiny-dnn
8. Keras
   http://keras-cn.readthedocs.io/en/latest/
   Miscellaneous
9. faceswap Face swapping with Python, dlib, and OpenCV
   https://github.com/matthewearl/faceswap
10. Facial Keypoints Detection Competition onKaggle.
    https://www.kaggle.com/c/facial-keypoints-detection/details/deep-learning-tutorial
11. Animplementation of Face Alignment at 3000fps via Local Binary Feature
    https://github.com/freesouls/face-alignment-at-3000fps

五、其它数据集

数据科学/机器学习数据集汇总
https://elitedatascience.com/datasets
CORe50：连续目标识别数据集【VincenzoLomonaco&DavideMaltoni】
https://vlomonaco.github.io/core50/
(Matlab)数据集统计分布自动发现【Isabel Valera】
http://proceedings.mlr.press/v70/valera17a.html
(建筑物)损害评估数据集【tsunami】
https://github.com/faiton713/ABCDdataset
IndieWeb社交图谱数据集【IndieWeb】
http://www.indiemap.org
DeepMind开源环境/数据集/代码集合【DeepMind】
https://deepmind.com/research/open-source/
鸟叫声数据集【xeno-canto】
http://www.xeno-canto.org
Wolfram数据集仓库
https://datarepository.wolframcloud.com
大型音乐分析数据集FMA
https://github.com/mdeff/fma
(300万)Instacart在线杂货购物数据集【Jeremy Stanley】
https://tech.instacart.com/3-million-instacart-orders-open-sourced-d40d29ead6f2
用于欺诈检测的合成财务数据集【TESTIMON】
https://www.kaggle.com/ntnu-testimon/paysim1
NSynth：大规模高质量音符标记音频数据集
https://magenta.tensorflow.org/datasets/nsynth
LIBSVM格式分类/回归/多标签/字符串数据集
https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html
笔记本电脑用logistic回归拟合100G数据集【DmitriySelivanov】
http://dsnotes.com/post/2017-02-07-large-data-feature-hashing-and-online-learning-part-2/
StackExchange近似/重复问题数据集
http://nlp.cis.unimelb.edu.au/resources/cqadupstack/
2010-2017最全KDD CUP赛题回顾及数据集
http://suo.im/2kRoQ1
食谱数据集：带有评级、营养及类别信息的超过2万种食谱【HugoDarwood】
https://www.kaggle.com/hugodarwood/epirecipes
奥斯卡数据集【Academy of Motion Picture Arts and Sciences】
https://www.kaggle.com/theacademy/academy-awards
计算医疗库：(TensorFlow)大型医疗数据集分析与机器学习建模【AkshayBhat】
https://github.com/AKSHAYUBHAT/ComputationalHealthcare
聚类数据集
https://cs.joensuu.fi/sipu/datasets/
官方开放气候数据集
https://pan.baidu.com/s/1i52Xarb
全球恐怖袭击事件数据集【START Consortium】
https://www.kaggle.com/START-UMD/gtd
七个机器学习时序数据集
https://machinelearningmastery.com/time-series-datasets-for-machine-learning/
大型众包关系数据库自然语言查询语义解析数据集(8万+查询样本)
http://t.cn/RNMr09n
赛马赔率数据集
http://t.cn/RNf0tXN
新的YELP数据集：包含470万评论和15.6万商家
http://t.cn/RNG6JYi
JMIR数据集专刊《JMIR Data》
http://t.cn/RCIhmvS
用于评价监督机器学习算法的基准数据集
https:// github.com/EpistasisLab/penn-ml-benchmarks
人口普查收入数据集分类
https:// github.com/dformoso/sklearn-classification
日文木版印刷文字识别数据集
http://t.cn/RCZPfYB
多模态二元行为数据集
http://t.cn/RCzFn1g
(TensorFlow)AudioSet音频事件数据集分类模型
GitHub: tensorflow/models/tree/master/audioset
Facebook星际争霸游戏数据集
(TorchCraft可读/365GB/6万多场次/15亿帧画面/近5亿用户操作)
http://t.cn/R9j8AUM
机器学习论文/数据集/工具集锦(日文)
http://t.cn/RKV7x2A
机器学习公司的十大数据搜集策略
http://t.cn/R54rtvd
NLP数据集加载工具集
http://t.cn/RaYwYXl
日语相似词数据集
http://t.cn/RaVFV35
大规模人本完形填空(多选阅读理解)数据集
http://t.cn/Rac2Pey
高质量免费数据集列表
http://t.cn/R6B1aqa
《数据之美》自然语言数据集/代码
http://t.cn/hBOTM4
微软数据集MS MARCO，阅读理解领域的「ImageNet」
http://t.cn/RIMqGBK
AI2科学问答数据集(多选)
http://t.cn/RI5liwJ

六、常用图像数据集大全

（分类，跟踪，分割，检测等）

1. 搜狗实验室数据集：
   http://www.sogou.com/labs/dl/p.html
   互联网图片库来自sogou图片搜索所索引的部分数据。其中收集了包括人物、动物、建筑、机械、风景、运动等类别，总数高达2,836,535张图片。对于每张图片，数据集中给出了图片的原图、缩略图、所在网页以及所在网页中的相关文本。200多G
2. http://www.imageclef.org/
   IMAGECLEF致力于位图片相关领域提供一个基准（检索、分类、标注等等） Cross Language Evaluation Forum (CLEF) 。从2003年开始每年举行一次比赛.
   http://staff.science.uva.nl/~xirong/index.php?n=Main.Dataset