Context COIL-100 was collected by the Center for Research on Intelligent Systems at the Departu0001ment of Computer Science , Columbia University. The database contains color images of 100 objects. The objects were placed on a motorized turntable against a black background and images were taken at pose internals of 5 degrees. This dataset was used in a real-time 100 object recognition system whereby a system sensor could identify the object and display its angular pose. Content There are 7,200 images of 100 objects. Each object was turned on a turnable through 360 degrees to vary object pose with respect to a fixed color camera. Images of the objects were taken at pose intervals of 5 degrees. This corresponds to 72 poses per object. There images were then size normalized. Objects have a wide variety of complex geometric and reflectance characteristics. Acknowledgements Original data source and banner image: http://www1.cs.columbia.edu/CAVE/software/softlib/coil-100.php This dataset is intended for non-commercial research purposes only. When using this dataset, please cite: "Columbia Object Image Library (COIL-100)," S. A. Nene, S. K. Nayar and H. Murase, Technical Report CUCS-006-96, February 1996. Inspiration - Can you train a system to identify objects in real time?