PKU-AIR300 dataset

The PKU-AIR300 Dataset is a new large-scale challenging aircraft dataset. It contains 320,000 annotated color images from 300 different classes in total. Each category contains 100 images at least, and a maximum of 10,000 images, which leads to the long tail distribution. According to the number of images in each category, it is divided all classes into two parts with 180 known classes for training and 120 novel unknown classes for testing respectively.


  • The images the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
  • Copyright National Engineering Laboratory for Video Technology (NELVT) and Institute of Digital Media, Peking University. All rights reserved.

All publications using Air-300 Dataset should cite the paper below:

Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu and Yonghong Tian. Learning Open Set Network with Discriminative Reciprocal Points. ECCV 2020.


  • You can download the agreement (pdf) by clicking the DOWNLOAD link.
  • Contact E-mail: pkuml at and mail the scanned vision.