The previous dataset was an easy dataset for classification using texture features. In fact, many of the problems that are interesting from a business point of view are relatively easy. However, sometimes we may be faced with a tougher problem and need better and more modern techniques to get good results.
We will now test a public dataset, which has the same structure: several photographs split into a small number of classes. The classes are animals, cars, transportation, and natural scenes.
When compared to the three-class problem we discussed previously, these classes are harder to tell apart. Natural scenes, buildings, and text have very different textures. In this dataset, however, texture and color are not clear markers of the image class. The following is one example from the animal class:
And here is another example from the car class:
Both...
