COIL-100

COIL-100:

This dataset contains color images of objects at every 5 angles in a 360 degree rotation. The dataset was collected by the Center for Research on Intelligent Systems at the Department of Computer Science, Columbia University. This dataset was used in a real-time image recognition study.

Here is some information regarding this dataset:

  • Number of images in the dataset: 7200 images

  • Number of classes: 100 object categories each with 72 poses

  • Image resolution: 128×128

More information can be found in the technical report in bellow, or the Kaggle page https://www.kaggle.com/jessicali9530/coil100/home.

The main page for the dataset can be found on http://www1.cs.columbia.edu/CAVE/software/softlib/coil-100.php.

If you use this dataset:

Please make sure to use the dataset for non-commercial research purposes only (Terms of Use).

Please refer to the technical report in bellow and cite:

S. A. Nene, S. K. Nayar and H. Murase, Columbia Object Image Library (COIL-100), Technical Report CUCS-006-96, February 1996.

keywords: Vision, Image, Classification, Object Detection, Rotation