AFGR-48 dataset is a challenging 50-class geospatial fine-grained aircraft classification dataset. The dataset contains a total of 12500 aircraft instances from VHR optical remote sensing images which are acquired from Google Earth with spatial resolution ranging from 0.3 to 0.7m. The dataset provides two official splits for researchers to train and test fairly. The example structure of the AFGR-50 dataset is shown as below:
- AFGR-50 Data Structure
[official split: 20% for train and 80% for test]
└─ ── 20-80
└── ─ train
| └── A0
| | ├── A0_0.jpg
| | └── ...
| | └── A0_xx.jpg
| └── A1
| | ├── A1_0.jpg
| | └── ...
| | └── A1_xx.jpg
| └── ...
| └── A47
| ├── A47_0.jpg
| └── ...
| └── A47_xx.jpg
└── ─ val
└── A0
| ├── A0_0.jpg
| └── ...
| └── A0_xx.jpg
└── A1
| ├── A1_0.jpg
| └── ...
| └── A1_xx.jpg
└── ...
└── A49
├── A49_0.jpg
└── ...
└── A49_xx.jpg
The AFGR-50 Dataset will be released in a few weeks, please stay tuned for its update!
If you have any questions, please write them in the issue column, and I will answer them soon! Thank you!
We have made this dataset available through Baidu Drive for your convenience. You can access the dataset using the following links:
To download the dataset from Baidu Drive, you may need to enter the following extraction code: <KTYG>
.
- UPDATE 2023.04.01!! We released a long-tailed distribution dataset, BIT-AFGR50-LT.
BIT-AFGR50 is available on Google Drive Now.
This dataset is provided for academic research purposes only. By using this dataset, you agree to:
- Use the dataset solely for academic research, and not for any commercial purposes or applications that violate human peace and morality.
- Give appropriate credit to the dataset creators when citing the dataset in your research.
Any other use of this dataset is strictly prohibited. If you have questions about the usage of this dataset or want to request permission for a specific use case, please contact the dataset maintainer.
If you use this dataset in your research or data analysis projects, please cite the following paper: https://doi.org/10.3390/rs15071773
Thank you for your interest in the Dataset Title, and we hope it proves useful in your research or data analysis projects! If you have any questions or require assistance, please feel free to open an issue on this repository or contact the dataset maintainer.