CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture

Intelligence has been considered as the major challenge in promoting economic potential and production efficiency of precision agriculture. In order to apply advanced deep-learning technology to complete various agricultural tasks in online and offline ways, a large number of crop vision datasets with domain-specific annotation are urgently needed. To encourage further progress in challenging realistic agricultural conditions, we present the CropDeep species classification and detection dataset, consisting of 31,147 images with over 49,000 annotated instances from 31 different classes. In contrast to existing vision datasets, images were collected with different cameras and equipment in greenhouses, captured…

• NN
  National Natural Science Foundation of China

  Awards: KM201910011010, No. 61673002, 2017YFC1600605, 61673002
• BM
  Beijing Municipal Education Commission

  Award: No. KM201910011010
• NK
  National Key Research and Development Program of China

  Awards: 2017YFC1600605, No. 2017YFC1600605