The 10 Biggest datasets of 2018

0) Open Images V4 from Google AI on April 30th Contains 15.4M bounding-boxes for 600 categories on 1.9M images.
Paper: https://lnkd.in/fm4xiUm

1) MURA from Stanford University ML Group on May 24 Radiographic image dataset
Paper: https://lnkd.in/fBy5szB

2) BDD100K from BAIR, Georgia Tech, Peking University, Uber AI
on May 30 Self-Driving Car Dataset.
Paper: https://lnkd.in/f-sYj9k

3) SQuAD 2.0 from Stanford
on June 11 QA Dataset.
Paper: https://lnkd.in/fYc6c5W

4) CoQA from Stanford on August 21 QA Dataset
Paper: https://lnkd.in/fKvuTvE

5) Spider 1.0 from Yale Univ on September 24 Cross-domain semantic parsing and text-to-SQL dataset.
Paper: https://lnkd.in/fWyR2x8

6) HototQA from Carnegie, Stanford, and Montreal on September 25 QA Dataset on Wiki
Paper: https://lnkd.in/fTtTgZt

7) Tencent ML Images from Tencent AI Lab on Oct 18 largest open-source multi-label image dataset
Paper: https://lnkd.in/ffV6VD5

8) Tencent AI Lab Embedding Corpus for Chinese words and phrases on Oct 19 Embeddings Dataset
Paper: https://lnkd.in/ffV6VD5

9) fastMRI from NYU and Facebook AI on November 26
Knee MRI Images Dataset
Paper: https://lnkd.in/fQuUDNk

Read: https://lnkd.in/fXU9Kr6

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