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 (PKU-IDM). 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.
@InProceedings{chen_2020_ECCV,
author = {Chen, Guangyao and Qiao, Limeng and Shi, Yemin and Peng, Peixi and Li, Jia and Huang, Tiejun and Pu, Shiliang and Tian, Yonghong},
title = {Learning Open Set Network with Discriminative Reciprocal Points},
booktitle = {The European Conference on Computer Vision (ECCV)},
month = {August},
year = {2020}
}
You can download the agreement(pdf) by clicking the DOWNLOAD link. After filling it, please send the electrical version to our Email: pkuml at pku.edu.cn (Subject: PKU-AIR300 Agreement) and mail the paper version to our lab: Room 2604, Science Building No. 2, Peking University, No.5 Yiheyuan Road, Haidian District, Beijing, P.R.China . After confirming your information, we will send the download link and password to you via Email. You need to follow the agreement.