A dataset for scene classification based on camera metadata

In this paper, we introduce a new dataset for scene classification based on camera metadata. We classify the most common scenes that have been researched much recently. This dataset consists of 12 scene categories. Each category contains 500 to 2000 images. Most images are high resolution such as 2000×2000 pixels. The images in the dataset are original, namely, each image brings with a camera metadata (EXIF). Various types, metadata cues of photos, strict definitions among scenes are characteristic factors that make this dataset a very challenging testbed for photo classification. We supply the scene photos together with scene labeling, as well as the EXIF information extraction via methodology, and we apply the dataset into sementic scene classification up to now.