PASCAL-5i Small Sample Image Segmentation Dataset
Date
3 years ago
Size
112.42 MB
Publish URL
Paper URL
License
Other
*This dataset supports online use.Click here to jump.
PASCAL-5i is a dataset for evaluating few-shot segmentation.
The dataset is subdivided into 4 parts, each containing 5 categories, for a total of 20 categories. One part contains labeled samples from 5 categories for evaluating few-shot learning methods. The remaining 15 categories are used for training.
PASCAL-5i.torrent
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