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| 1 | +Data.gov |
| 2 | +NOAA - https://www.ncdc.noaa.gov/cdo-web/ |
| 3 | + atmospheric, ocean |
| 4 | +Bureau of Labor Statistics - https://www.bls.gov/data/ |
| 5 | + employment, inflation |
| 6 | +US Census Data - https://www.census.gov/data.html |
| 7 | + demographics, income, geo, time series |
| 8 | +Bureau of Economic Analysis - http://www.bea.gov/data/gdp/gross-domestic-product |
| 9 | + GDP, corporate profits, savings rates |
| 10 | +Federal Reserve - https://fred.stlouisfed.org/ |
| 11 | + curency, interest rates, payroll |
| 12 | +Quandl - https://www.quandl.com/ |
| 13 | + financial and economic |
| 14 | + |
| 15 | +Data.gov.uk |
| 16 | +UK Dataservice - https://www.ukdataservice.ac.uk |
| 17 | + Census data and much more |
| 18 | +WorldBank - https://datacatalog.worldbank.org |
| 19 | + census, demographics, geographic, health, income, GDP |
| 20 | +IMF - https://www.imf.org/en/Data |
| 21 | + economic, currency, finance, commodities, time series |
| 22 | +OpenData.go.ke |
| 23 | + Kenya govt data on agriculture, education, water, health, finance, … |
| 24 | +https://data.world/ |
| 25 | +Open Data for Africa - http://dataportal.opendataforafrica.org/ |
| 26 | + agriculture, energy, environment, industry, … |
| 27 | +Kaggle - https://www.kaggle.com/datasets |
| 28 | + A huge variety of different datasets |
| 29 | +Amazon Reviews - https://snap.stanford.edu/data/web-Amazon.html |
| 30 | + 35M product reviews from 6.6M users |
| 31 | +GroupLens - https://grouplens.org/datasets/movielens/ |
| 32 | + 20M movie ratings |
| 33 | +Yelp Reviews - https://www.yelp.com/dataset |
| 34 | + 6.7M reviews, pictures, businesses |
| 35 | +IMDB Reviews - http://ai.stanford.edu/~amaas/data/sentiment/ |
| 36 | + 25k Movie reviews |
| 37 | +Twitter Sentiment 140 - http://help.sentiment140.com/for-students/ |
| 38 | + 160k Tweets |
| 39 | +Airbnb - http://insideairbnb.com/get-the-data.html |
| 40 | + A TON of data by geo |
| 41 | +UCI ML Datasets - http://mlr.cs.umass.edu/ml/ |
| 42 | + iris, wine, abalone, heart disease, poker hands, …. |
| 43 | +Enron Email dataset - http://www.cs.cmu.edu/~enron/ |
| 44 | + 500k emails from 150 people |
| 45 | + From 2001 energy scandal. See the movie: The Smartest Guys in the Room. |
| 46 | +Spambase - https://archive.ics.uci.edu/ml/datasets/Spambase |
| 47 | + Emails |
| 48 | +Jeopardy Questions - https://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_file/ |
| 49 | + 200k Questions and answers in json |
| 50 | +Gutenberg Ebooks - http://www.gutenberg.org/wiki/Gutenberg:Offline_Catalogs |
| 51 | + Large collection of books |
| 52 | + |
| 53 | +IMAGES |
| 54 | +ImageNet - http://image-net.org |
| 55 | + 14M images of objects |
| 56 | +Google - https://ai.googleblog.com/2016/09/introducing-open-images-dataset.html |
| 57 | + 9M image URLs with labels |
| 58 | +Microsoft Coco - http://cocodataset.org |
| 59 | + 330k images, most labeled |
| 60 | +Labelled Faces in the Wild - http://vis-www.cs.umass.edu/lfw/ |
| 61 | + 13k face images with names |
| 62 | +Stanford Dogs - http://vision.stanford.edu/aditya86/ImageNetDogs/ |
| 63 | + 120 dog breeds, 20k images |
| 64 | + |
| 65 | +AUTONOMOUS CARS |
| 66 | +Berkeley DeepDrive - https://bdd-data.berkeley.edu/ |
| 67 | + Massive dataset including 100k videos with 1100 hours of hd driving |
| 68 | +Belgian Traffic Signs - http://www.vision.ee.ethz.ch/~timofter/traffic_signs/ |
| 69 | + 10k images |
| 70 | +Bosch Small Traffic Signals - https://hci.iwr.uni-heidelberg.de/node/6132 |
| 71 | + 5k training and 8k test images |
| 72 | +WPI Traffic Light, Pedestrian, Lane-Keeping - http://computing.wpi.edu/dataset.html |
| 73 | + 30GB of training and test data from Worcester, Mass |
| 74 | +UCSD Lisa - http://cvrr.ucsd.edu/LISA/datasets.html |
| 75 | + Vehicle detection, traffic signals |
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