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LSUN (Large-scale Scene Understanding Challenge)
The LSUN (Large-scale Scene UNderstanding Challenge) dataset aims to provide a unique benchmark for large-scale scene classification and scene understanding. The LSUN classification dataset contains 10 scene categories such as restaurant, bedroom, kitchen, outdoor church, etc.
The number of images are as follows:
- Training data: 120,000-3 million images per category
- Validation data: contains 300 images
- Test data: Each category contains 1000 images
Example image:
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