Teaching Computers to See Faces: A Big Open Photo Collection
Computers now can tell faces apart almost like people, and that got me curious.
For years top results came from teams with very big, private picture piles — so progress stayed behind closed doors.
This project made a different choice: they collected web photos with a simple, semi-automatic method and shared a public set called CASIAWebFace.
The collection has about 10,000 subjects and half a million images, many are real-life snapshots with odd light and motion, so it feels like the world.
Using that data they trained deep networks to learn face features from scratch, and the results were among the best on common tests.
The hope is clear: open data pulls more people in, sparks new ideas, and speeds up better face tools that work outside labs.
It’s not perfect, some photos are messy, but it’s a step toward fairer, shared progress — and now more groups can join the race, push limits, and build smarter apps for real life.
Read article comprehensive review in Paperium.net:
Learning Face Representation from Scratch
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