Clarifai Briefing Note (CGBN112)

Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere capture of images is no longer sufficient. In order to …

Read moreClarifai Briefing Note (CGBN112)

Clarifai Briefing Note

Document ID: CGBN112 | Last Updated: Feb. 7, 2018 Abstract Computers acquire images through various sensors that turn light and objects into binary data, but computers can’t understand what that data means. For a long time, this didn’t really matter because a computer would just store those images for later consumption by human. However, mere …

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SenseTime Briefing Note [CGBN103]

For a long time, it seemed that getting accurate image recognition was a computationally very difficult and hard task. Developers and researchers found it difficult to be able to program their way to distinguishing one face from another and in different positions, lighting situations, and facial expressions. Then Deep Learning came and changed everything. Into …

Read moreSenseTime Briefing Note [CGBN103]

SenseTime Briefing Note

Document ID: CGBN103 | Last Updated: Jan. 18, 2018 Abstract For a long time, it seemed that getting accurate image recognition was a computationally very difficult and hard task. Developers and researchers found it difficult to be able to program their way to distinguishing one face from another and in different positions, lighting situations, and …

Read moreSenseTime Briefing Note