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MIT-States Zero-Shot Learning Dataset
Date
4 years ago
Size
770.33 MB
Organization
Publish URL
Paper URL
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.
MIT-States.torrent
Seeding 1Downloading 0Completed 192Total Downloads 340
This dataset is contributed by community users and is intended for educational and informational purposes only. If any content involves copyright infringement, please contact us at support@hyper.ai for prompt review and removal.
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