Datasets

Adaptiope

Our proposed Adaptiope dataset for unsupervised domain adaptation with 123 classes in the 3 domains Product, Real Life and Synthetic. Every class contains 100 images per domain for a total of 36.900 images.

Adaptiope download link
SHA256 checksum: 93378c8d5f89ebd7f2015d38ba8d3e48c00bae959ebeeaf822e79e6fcfc7fd67

Modern Office-31

Our proposed Modern Office-31 dataset with our refurbished Amazon domain and an additional synthetic domain. Note that this download also contains the original Office-31 DSLR domain for a total of 7.210 images. The setup in our paper only used the Amazon, Synthetic and Webcam domains with a total of 6.712 files. However, the additional domain can be used to reproduce our Refurbished Office-31 experiments with domains Amazon, DSLR and Webcam.

Modern Office-31 download link
SHA256 checksum: da02da26ec456def6af39d32c794070cb51a3b5696489172f70f69f2da2f1a63

Refurbished Office-31

If you want to reproduce our Refurbished Office-31 experiments you can construct the dataset from the Amazon, DSLR and Webcam domains provided in the Modern Office-31 dataset above.

External Code

For our experiments, we used the official implementations of RSDA, SymNet and CAN.

Citation

If you use our datasets, please consider citing our paper (PDF):

@InProceedings{Ringwald_2021_WACV,
    author    = {Ringwald, Tobias and Stiefelhagen, Rainer},
    title     = {Adaptiope: A Modern Benchmark for Unsupervised Domain Adaptation},
    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
    month     = {January},
    year      = {2021},
    pages     = {101-110}
}