4 ms·

Looks to be a pretty well made site. Just a note that it breaks down a little when there are no auto-complete suggestions for the input - there's no indication

Looks to be a pretty well made site. Just a note that it breaks down a little when there are no auto-complete suggestions for the input - there's no indication at all that there are no auto-complete results or that it won't work without one, and the page appears to do nothing. I discovered this by typing the site's own domain into the input box.

yantrams 9y ago
Thanks for the feedback. Appreciate it. I will take care of these issues. Would love to know what you thought about the quality of results in general. Cheers
yantrams 9y ago
Fixed now. Also added a spinner gif while processing the request. Really appreciate your feedback. Feel free to let me know if you feel anything else is lacking. I am a math guy primarily who rarely ventures out of his jupyter-notebook comfort zone but thanks to this project I learned a good bit of frontend hacking. Cheers.
- clusmore 9y ago
  Great stuff. My next suggestion would be to make the logos shown in the results clickable to search for them, so that you can explore similar ones quickly. I'm curious if you have a particular use case in mind for this, or was it just fun to build?
  - yantrams 9y ago
    That's a neat idea. Thank you. I was thinking of putting search functionality in the results page too so that it will save a click and display names of the brands but this is better. Makes it more fun to explore for the users. I implemented this with the Indian Trademarks database with the purpose of helping brands detect obvious infringements of design to begin with. It worked reasonably well but the database comprised mostly wordmarks(text images) and badly compressed/scanned images so the results were kinda underwhelming, except for the popular brands. So I figured I should acquire a better graphics dataset to validate my algorithm and went ahead with it. The results turned out to be much better than the earlier dataset and I thought why not use this to make a fun tool and ended up doing this. I'm hoping this turns out to be a useful research tool for logo designers.
  - yantrams 9y ago
    Implemented now :) Feel free to browse around. http://compute.vision/logo-results.html?hash=P5RT9Q0RUJZ4P6YO http://compute.vision/logo-results.html?hash=P5RT9Q0RUJZ4P6Y... Your constructive feedback has given me the idea to explore degrees-of-separation-between-two-logos feature, something I'll hopefully implement in a couple of days. Thanks again for taking time to check this out.

yantrams 9y ago

Thanks for the feedback. Appreciate it. I will take care of these issues. Would love to know what you thought about the quality of results in general. Cheers

yantrams 9y ago

Fixed now. Also added a spinner gif while processing the request. Really appreciate your feedback. Feel free to let me know if you feel anything else is lacking. I am a math guy primarily who rarely ventures out of his jupyter-notebook comfort zone but thanks to this project I learned a good bit of frontend hacking. Cheers.

clusmore 9y ago
Great stuff. My next suggestion would be to make the logos shown in the results clickable to search for them, so that you can explore similar ones quickly. I'm curious if you have a particular use case in mind for this, or was it just fun to build?
- yantrams 9y ago
  That's a neat idea. Thank you. I was thinking of putting search functionality in the results page too so that it will save a click and display names of the brands but this is better. Makes it more fun to explore for the users. I implemented this with the Indian Trademarks database with the purpose of helping brands detect obvious infringements of design to begin with. It worked reasonably well but the database comprised mostly wordmarks(text images) and badly compressed/scanned images so the results were kinda underwhelming, except for the popular brands. So I figured I should acquire a better graphics dataset to validate my algorithm and went ahead with it. The results turned out to be much better than the earlier dataset and I thought why not use this to make a fun tool and ended up doing this. I'm hoping this turns out to be a useful research tool for logo designers.
- yantrams 9y ago
  Implemented now :) Feel free to browse around. http://compute.vision/logo-results.html?hash=P5RT9Q0RUJZ4P6YO http://compute.vision/logo-results.html?hash=P5RT9Q0RUJZ4P6Y... Your constructive feedback has given me the idea to explore degrees-of-separation-between-two-logos feature, something I'll hopefully implement in a couple of days. Thanks again for taking time to check this out.