WORKING ON AI? GET THESE FREE PUBLIC DATA SOURCES FOR 2019

High-quality data is the oil that moves the AI wheel to new heights, and the machine learning community cannot get enough of it. Organisations and individuals working on disruptive technologies like AI need datasets to fuel up their ML, Deep Learning and NLP algorithms. 2018 saw an unprecedented number of newly open-sourced datasets, including Stanford University’s Q&A dataset Hotpot, UC Berkeley’s large-scale self-driving dataset BDD100K and Google’s Open Images V4. To keep you abreast with the latest trends in the open source data here is our pick of the free public data sources for 2019- Facial Diversity Stakes Rise with IBM. In a 2018 research, IBM performed poorly when it was assigned the task to identify dark-skinned female subjects with only 65.3% accuracy. Since then the tech giant has pulled up its socks to improve its research efforts against AI bias with releasing the world largest facial attribute dataset called Diversity in Faces (DiF).