zoomstock
Creative
stock photo search
SHOW HN2020
62points
12comments
#953of 3,028 in 2020
Top 32%of 2020 by points
How HN took it
CuriousMostly questions and neutral comments
1 positive, 3 neutral or asking, 1 mixed, 1 critical, out of 6 comments about the project. Thread score -0.10.
Execution: 0 for, 1 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Well done and useful for browsing images visually
From 2 comments
This is great! Bookmarked, will use. I think, bug spotted: Show results only 3,567 results But the grid is shoving only aprox 300 photos when zoomed out. How can I see the rest…
throwaway888abc on HNWell done but be careful, TSNE has some drawbacks, well detailed here: https://distill.pub/2016/misread-tsne/ For building a more precise 2D embedding or image similarity search…
pilooch on HN
Objections
t-SNE distorts distances, so layout similarity is imprecise
From 2 comments
Well done but be careful, TSNE has some drawbacks, well detailed here: https://distill.pub/2016/misread-tsne/ For building a more precise 2D embedding or image similarity search…
pilooch on HNBy and large yes: T-SNE does it's best to achieve that - it's kind of tricky to take an N-dimensional space and flattening it to 2 dimensions. You inevitably get some tearing and…
jacobn on HN
Zoomed-out view shows only a few hundred of the results
From 1 comment
This is great! Bookmarked, will use. I think, bug spotted: Show results only 3,567 results But the grid is shoving only aprox 300 photos when zoomed out. How can I see the rest…
throwaway888abc on HN
Questions
Are visually similar images placed next to each other?
From 1 comment
are visually similar images next to each other?
sharemywin on HN
Is t-SNE the best algorithm for this?
From 1 comment
Is the t-SNE the best algorithm for this task?
java-man on HN
Alternatives named
Neural embeddings with FAISS or Annoy
From 1 comment
Well done but be careful, TSNE has some drawbacks, well detailed here: https://distill.pub/2016/misread-tsne/ For building a more precise 2D embedding or image similarity search…
pilooch on HN