1 / 15

CALTECH 256

CALTECH 256. Greg Griffin, Alex Holub and Pietro Perona. Overview. 256 Object Categories + Clutter At least 80 images per category 30608 images instead of 9144. Caltech-101: Drawbacks. Smallest category size is 31 images: Too easy? left-right aligned Rotation artifacts

job
Download Presentation

CALTECH 256

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CALTECH 256 Greg Griffin, Alex Holub and Pietro Perona

  2. Overview • 256 Object Categories + Clutter • At least 80 images per category • 30608 images instead of 9144

  3. Caltech-101: Drawbacks • Smallest category size is 31 images: • Too easy? • left-right aligned • Rotation artifacts • Soon will saturate performance

  4. Caltech-256 : New Features • Smallest category size now 80 images • Harder • Not left-right aligned • No artifacts • Performance is halved • More categories • New and larger clutter category

  5. 101 clutter 256 clutter

  6. Collection Procedure • Similar to Caltech-101 (Li, Fergus, Perona) • Four sorters rate the images • good: a clear example • bad: confusing, occluded, cluttered, or artistic • not applicable: object category not present • 92,652 Images from Google and Picsearch • 32.1% were rated good and kept • Some images borrowed from 29 of the largest Caltech-101 categories (green)

  7. Diminishing returns from Google Images

  8. Test for Antonio Torralba Try to find: blimp, clutter, grasshopper, picnic-table, refrigerator, watermelon

  9. Test for Antonio Torralba watermelon refrigerator grasshopper blimp clutter picnic-table

  10. Localization? watermelon refrigerator grasshopper Caltech-101/256 are not recommended for object localization tests blimp clutter picnic-table

  11. Expect roughly half the performance Benchmarks

  12. Clutter: 827 Background Images Stephen Shore, Uncommon Places

  13. Acknowledgements • Rob Fergus and Fei Fei Li, Pierre Moreels for code and procedures developed for the Caltech-101 image set • Marco Ranzato and Claudio Fanti for miscellaneous help • Sorters: Lis Fano, Nick Lo, Julie May, Weiyu Xu for making this image set possible with their hard work Download: http://vision.caltech.edu/Image_Datasets/Caltech256

More Related