VBN Training Datasets
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    Rendezvous datasets

    1. MAN-DATA-L1: Envisat lab mockup
    2. MAN-DATA-L2: Envisat lab mockup with background
    3. MAN-DATA-S1: Envisat synthetic images
    4. MAN-DATA-S2: Envisat synthetic images with background
    5. How to download
    6. References

    MAN-DATA-L1: Envisat lab mockup

    This dataset contains 16000 images of a scaled mockup of an Envisat-like spacecraft acquired in laboratory. All images have a black background.

    NAT-DATA-L1

    Number of images: 16000
    Data source: Airbus robotic laboratory

    MAN-DATA-L2: Envisat lab mockup with background

    This dataset contains 16000 images of a scaled mockup of an Envisat-like spacecraft acquired in laboratory. A synthetic background with Earth and stars has been applied to each image.

    NAT-DATA-L1

    Number of images: 16000
    Data source: Airbus robotic laboratory

    MAN-DATA-S1: Envisat synthetic images

    This dataset contains 16000 synthetic images of an Envisat-like spacecraft with black background.

    NAT-DATA-L1

    Number of images: 16000
    Data source: SurRender software

    MAN-DATA-S2: Envisat synthetic images with background

    This dataset contains 16000 synthetic images of an Envisat-like spacecraft with synthetic Earth and stars background.

    NAT-DATA-L1

    Number of images: 16000
    Data source: SurRender software

    How to download

    To donwload the datasets, please read and acknowledge our Licence, and then send us your download request by filling this form.

    Access to the datasets is only granted for one month upon acceptance of your request. If your access has expired, please send a new request.

    References

    These datasets and the related documentation were produced as part of ESA Contract No. 4000137956/22/NL/CRS.

    If you are using these datasets in your work, consider citing our paper:

    • J. Lebreton, I. Ahrns, R. Brochard, C. Haskamp, H. Krüger, M. Le Goff, N. Menga, N. Ollagnier, R. Regele, F. Capolupo, M. Casasco, Training Datasets Generation for Machine Learning: Application to Vision-Based Navigation, SPAICE Conference 2024 [link].

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