3 minute Thingy

C789ab052f13ddd37af520c4dc1dc375?s=47 Xyggy
February 21, 2019

3 minute Thingy

C789ab052f13ddd37af520c4dc1dc375?s=128

Xyggy

February 21, 2019
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  1. 1 Query images Result images Realtime learning Dataset: wikiart images

    - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019
  2. 2 Add 2nd image to query www.xyggy.com © 2019

  3. 3 www.xyggy.com © 2019 Add 3rd image to query

  4. 4 Add 4th image to query www.xyggy.com © 2019

  5. 5 www.xyggy.com © 2019 Thingy

  6. 6 Add and remove images from query Query images Result

    images Dataset: wikiart images - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019
  7. 7 Add 2nd image to query www.xyggy.com © 2019

  8. 8 Add two more images to query www.xyggy.com © 2019

  9. 9 Remove two images from query www.xyggy.com © 2019

  10. 10 Thingy www.xyggy.com © 2019

  11. 11 More like this Query images Result images Dataset: 110K

    Visual Genome images - http://visualgenome.org/ No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019
  12. 12 More like this www.xyggy.com © 2019

  13. 13 More like these Query images Result images www.xyggy.com ©

    2019
  14. 14 More like these www.xyggy.com © 2019

  15. 15 Thingy www.xyggy.com © 2019

  16. 16 More like these, less like others Query images Result

    images Dataset: wikiart images - https://www.wikiart.org/. No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. www.xyggy.com © 2019
  17. 17 More like positives, less like negatives www.xyggy.com © 2019

  18. 18 More like positives, less like negatives www.xyggy.com © 2019

  19. 19 More like negatives, less like positives www.xyggy.com © 2019

  20. 20 More like negatives, less like positives www.xyggy.com © 2019

  21. 21 yin and yang www.xyggy.com © 2019

  22. 22 Thingy www.xyggy.com © 2019

  23. 23 Taking photos is free Farmer wants to know disease

    type affecting tomato crop. Photos are from the same plant. Dataset: 80K plant leaf images of different crops https://plantvillage.org/ No image pre-processing performed. No textual data used. Feature vectors generated automatically with deep learning. #1 #2 #3 www.xyggy.com © 2019
  24. 24 Query with photo #1 only Top 5 results: 1

    potato_early_blight 2 tomato_early_blight 3 potato_early_blight 4 potato_early_blight 5 tomato_early_blight 2nd result identifies disease www.xyggy.com © 2019
  25. 25 Query with photo #2 Top 5 results: 1 tomato_early_blight

    2 celery_early_blight 3 tomato_early_blight 4 potato_early_blight 5 tomato_early_blight 1st result identifies disease www.xyggy.com © 2019
  26. 26 Query with photo #3 Top 5 results: 1 soybean_leaf_blight

    2 celery_early_blight 3 potato_early_blight 4 tomato_early_blight 5 soybean_leaf_blight 4th result identifies disease www.xyggy.com © 2019
  27. 27 Query with photo #1 and #2 Top 5 results:

    1 tomato_early_blight 2 tomato_early_blight 3 celery_early_blight 4 potato_early_blight 5 potato_early_blight top 2 positions identify disease www.xyggy.com © 2019
  28. 28 Add photo #3 to query top 3 positions identify

    disease Top 5 results: 1 tomato_early_blight 2 tomato_early_blight 3 tomato_early_blight 4 potato_early_blight 5 potato_early_blight www.xyggy.com © 2019
  29. 29 Thingy www.xyggy.com © 2019