WebVision Database: Millions of web photos teaching computers to see
Imagine a giant online photo album used to teach computers what things look like.
Researchers gathered over 2.
4 million images from many websites, with short captions and tags, to build a set called WebVision.
The images are messy, noisy and not perfect but that is the point — those noisy web photos help machines learn like they would in the real world.
Models trained on this pile of pictures often learns well and can even do as good or sometimes better when tried on new tasks and new picture collections.
The work also found a surprise: pictures from different sites carry a kind of dataset bias, meaning a model trained on one source may not always match another, so researchers can study how to make learning more fair and robust.
This is a big step toward teaching computers from everyday web images, with less hand labeling, so future apps could recognize things in the wild more easily then before.
Read article comprehensive review in Paperium.net:
WebVision Database: Visual Learning and Understanding from Web Data
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