Roof material classification from aerial imagery

Code

• github.com/ZFTurbo/DrivenData-Open-AI-Caribbean-Challenge-2nd-place-solution
  OfficialIn papertf★ 9

Abstract

This paper describes an algorithm for classification of roof materials using aerial photographs. Main advantages of the algorithm are proposed methods to improve prediction accuracy. Proposed methods includes: method of converting ImageNet weights of neural networks for using multi-channel images; special set of features of second level models that are used in addition to specific predictions of neural networks; special set of image augmentations that improve training accuracy. In addition, complete flow for solving this problem is proposed. The following content is available in open access: solution code, weight sets and architecture of the used neural networks. The proposed solution achieved second place in the competition "Open AI Caribbean Challenge".

Tasks

Reproductions