Datasets › SUN09
SUN09
The SUN09 dataset consists of 12,000 annotated images with more than 200 object categories. It consists of natural, indoor and outdoor images. Each image contains an average of 7 different annotated objects and the average occupancy of each object is 5% of image size. The frequencies of object categories follow a power law distribution.
Source: A Pooling Approach to Modelling Spatial Relations forImage Retrieval and Annotation Image Source: http://people.csail.mit.edu/myungjin/HContext.html
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 26 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SUN09
1 variant name, as the archive lists them.
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