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RAMP Astro benchmark: Galaxy deblending
- Authors:
Bertrand Rigaud - <bertrand.rigaud@cc.in2p3.fr>
Alexandre Boucaud - <aboucaud@lal.in2p3.fr>
- Description: The challenge uses 20 000 images (128x128 pixels, 32 bits)
- Size:
The dataset (2 Gb) is divided into 12 000 images for the training, 4 000 for the validation (during training) and 4 000 images for the final evaluation of the model.
- File type: 4 npy files: data_train.npy, data_test.npy, labels_test.npy, labels_train.npy
- License: This work is released under a BSD-3 license
- Tag:
- Prace dataset location:
- url: https://github.com/ramp-kits/astrophd_tutorial
- Dataset download url:
- Download script: https://repository.prace-ri.eu/git/Data-Analytics/Datasets/blob/master/download_data.py
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