MIT-States Zero-Shot Learning Dataset

MIT-States is a dataset for studying state transitions in image retrieval. The dataset contains 245 object classes (eg, fish, persimmon, room), 115 attributes (eg, mossy, deflated, dirty), and about 53,000 images.

On average each target instance was modified by 1 of the 9 provided attributes.