»Because anyone can contribute to its platform, it gets updated every day.« says the CEO. Nothing really new from an AI startup, despite making headlines with MITs technology review: The company Mapillary crowdsources common knowledge to capitalize it by converting it to valuable data that is then circulated out of the hand of the commons, where it was originally situated.
Mapillary uses crowd sourced imagery (that is without paying for it) to create additional data that would help autonomous cars to drive »more savely«. While MIT Technology Review tries to describe the company as »Wikipedia of mapping« it is clearly not. The company is privately owned and doesn’t give away the data in the sense of a public knowledge (e.g. donating it to open street maps). Parts of the data is accessable via an API though and temporarily free »for charities and for educational or personal use«.
The rather impudent marketing is acknowledged at the articles end, when stating: »This story was corrected to make clear the images are crowdsourced but the underlying code is not open source.«
Why does adversarial.io tackle this? The answer might be in an text by Eykholt et al.; Robust Physical-World Attacks on Deep Learning Models. https://arxiv.org/abs/1707.08945