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Intel Image Classification is an image classification dataset released by Intel in 2018, which aims to classify images of natural and man-made scenes.

The dataset contains approximately 25,000 150×150 pixel color images distributed in 6 categories: buildings, forest, glacier, mountain, sea, and street.

Data composition:

• seg_train(Training set): approximately 14,000 images.
• seg_test(Test set): approximately 7,000 images.
• seg_pred(Prediction/Validation Set): approximately 3,000 images.