Multi-Scene-Recognition [webpage]

Task

Multi-scene recognition is a challenging task due to that

• images are large-scale and unconstrained
• all present scenes in an aerial image need to be exhaustively recognized

In this work, we propose a large-scale dataset, namely MultiScene dataset, and provide extensive benchmarks.

Dataset

MultiScene dataset aims at two tasks: 1) developing algorithms for multi-scene recognition and 2) network learning with noisy labels.

We collect 100k high-resolution aerial images with the size of 512x512 around the world. All of them are assigned with crowdsourced labels provided by OpenStreetMap (OSM), and 14k of them are mannually inspected yielding clean labels (show in red).

In total, 36 scene categories are defined in our dataset, and 22 models are tested.