How a machine learning model understands logo similarity
Show HN: How a machine learning model understands logo similarity
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Hi HN, I'm a co-founder of Aesthetic, a new kind of research tool for designers.Our upcoming app lets designers search the world of design using images or text. To understand and improve the quality of our visual similarity models, we want a more intuitive way to interpret some of the distances between our logo corpus.My co-founder Andrew Look created this awesome tool using Tensorflow, Inception, t-sne and a subset of our logos corpus.We just published a cool video of it, published it our website. See it here: www.aesthetic.comAnd, here's another data viz that we didn't post on our landing page: https://gph.is/g/aNWDeoq
How a machine learning model understands logo similarity is positioned in show hn launch, a segment that rewards a clear, focused offering.
Its current recorded stage is Show HN launch.
| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: gph.is/g/aNWDeoq
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