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Indoor Scene Recognition
The database contains 25 Indoor categories, and a total of 1,000 images. The number of images varies across categories, but there are at least 20-30 images per category. All images are in jpg format. The images provided here are for research purposes only.
Files
1000
Size
Format
jpg
Duration
Country
Worldwide
Participants
10
Languages
Updated
January 26, 2023
Description
Indoor scene recognition is a challenging open problem in high level vision. Most scene recognition models that work well for outdoor scenes perform poorly in the indoor domain. The main difficulty is that while some indoor scenes (e.g. corridors) can be well characterized by global spatial properties, others (e.g., bookshelf) are better characterized by the objects they contain. More generally, to address the indoor scenes recognition problem we need a model that can exploit local and global discriminative information.
Dataset Technical Specification
Number of files:
1000
Total dataset size:
Duration:
Format:
jpg
Sample rate:
Resolution:
Dataset Demographics
📍 Country:
Worldwide
🧍 Gender:
📅 Age:
👥 Number of participants:
10
