NORB Object Recognition Dataset, Fu Jie Huang, Yann LeCun, New York University
Overview
This database is intended for experiments in 3D object reocgnition from shape. It contains images of 50 toys belonging to 5 generic categories: four-legged animals, human figures, airplanes, trucks, and cars. The objects were imaged by two cameras under 6 lighting conditions, 9 elevations (30 to 70 degrees every 5 degrees), and 18 azimuths (0 to 340 every 20 degrees).
The training set is composed of 5 instances of each category (instances 4, 6, 7, 8 and 9), and the test set of the remaining 5 instances (instances 0, 1, 2, 3, and 5).
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| Sources: | ||
|---|---|---|
| Added by: | Infochimps | |
| Collection: | Pete Skomoroch's Bookmarks | |
| Link: | http://www.cs.nyu.edu/~ylclab/data/norb-v1.0-small/ | |
| Created: | about 3 years ago | |
| Updated: | about 1 year ago | |
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