Try to recognize and segment as many object categories as you can. Training images correspond to outdoor pictures taken in different cities of Spain.
Characteristics of the dataset:
Release October 22, 2008:
Use the LabelMe toolbox to read the annotations and to extract segmentation masks.
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Citation: LabelMe: a database and web-based tool for image annotation . B. Russell, A. Torralba, K. Murphy, W. T. Freeman. International Journal of Computer Vision, 2007.
Try to recognize and segment as many object categories as you can. Use 100 images for training from each scene category (this will give you a total of 800 training images), and the rest for testing. Report performances for each object separatelly. Not all the objects have the same amount of training data available. But this reflects the fact that for some objects it is easier to gather data than for others.
Citation: Modeling the shape of the scene: a holistic representation of the spatial envelope. A. Oliva, A. Torralba. International Journal of Computer Vision, Vol. 42(3): 145-175, 2001.
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