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Keyword: DIOR dataset ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Object detection in optical remote sensing images: A survey and a new benchmark

   Li, Wan, Cheng, Meng and Han · ISPRS Journal of Photogrammetry and Remote Sensing · 2019

   The paper reviews deep learning object detection in optical remote sensing images, introduces a large public benchmark called DIOR, and tests several leading methods on it as baselines.

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   1. UncheckedThe DIOR dataset for spotting objects in optical remote sensing images contains 23,463 images and 192,472 labelled instances across 20 object classes.“The dataset contains 23463 images and 192472 instances, covering 20 object classes.”
   2. UncheckedThe authors describe their DIOR dataset as large-scale, varied in object size and imaging conditions, and with high inter-class similarity and intra-class diversity.“The proposed DIOR dataset 1) is large-scale on the object categories, on the object instance number, and on the total image number; 2) has a large range of object size variations, not only in terms of spatial resolutions, but also in the aspect of inter- and intra-class size variability across obje…”