IndoorScenes
OpenML dataset with id 45923
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22117614/IndoorScenes.arff
Upload date: 8 March 2024
Dataset Characteristics
Number of classes: 67
Number of features: 3 (numeric: 0, symbolic: 0 and in total binary: 0 )
Number of instances: 15,620
Number of instances with missing values: 0
Number of missing values: 0
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., bookstores) 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. The database contains 67 Indoor categories, and a total of 15620 images. The number of images varies across categories, but there are at least 100 images per category. All images are in jpg format. The images provided here are for research purposes only.
This page was built for dataset: IndoorScenes
