[ Tech Report ]
| D o w n l o a d | Collection of all 30607 images: 256_ObjectCategories.tar (1.2 GB) md5sum |
| B r o w s e | View all the images . Please do not link directly to these images: it overloads our server. |
| I n t r o | A brief introductory online slide show which you can also download as powerpoint slides . |
| D e t a i l s | See the tech report for details. |
| B e n c h m a r k s | Dotted lines show current Caltech-101 benchmarks. Solid lines show Caltech-256 benchmarks. Please send us yours! |
Note: for the purpose of comparing Caltech-101 and Caltech-256 performance
(see purple line) we
re-implemented the Pyramid Matching algorithm of Lazebnik et. al.
In Caltech-101 we remove "BACKGROUND" and also the "faces-easy" category since
it
is redundant with "faces".
| R e f e r e n c e s |
Please cite as: Griffin, G. Holub, AD. Perona, P. The Caltech-256, Caltech Technical Report. Paper may be downloaded here. Bibitex entry here. |
| C o n t a c t | Questions, comments, benchmarks and references can be sent to the address below. |