computer-vision-11
Scene Classification
3260 papers • 126 benchmarks • 313 datasets
Scene Classification is a task in which scenes from photographs are categorically classified. Unlike object classification, which focuses on classifying prominent objects in the foreground, Scene Classification uses the layout of objects within the scene, in addition to the ambient context, for classification. Source: Scene classification with Convolutional Neural Networks
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in scene-classification-11
Trend
Dataset
Best Model
Actions
UC Merced Land Use Dataset
UC Merced Land Use Dataset
Places365-Standard
Places365-Standard
Libraries
iUse these libraries to find scene-classification-11 models and implementations
Datasets
Subtasks
No subtasks available.
Most implemented papers
Remote Sensing Image Scene Classification: Benchmark and State of the Art
Gong Cheng, Junwei Han, Xiaoqiang Lu•Tue Feb 28 2017
A large-scale data set, termed “NWPU-RESISC45,” is proposed, which is a publicly available benchmark for REmote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU).
2597
