---
dataset_info:
  features:
  - name: object_id
    dtype: int64
  - name: RGB_image
    dtype: image
  - name: VIS_image
    dtype:
      array2_d:
        shape:
        - 224
        - 224
        dtype: float32
  - name: NISP_Y_image
    dtype:
      array2_d:
        shape:
        - 224
        - 224
        dtype: float32
  - name: NISP_J_image
    dtype:
      array2_d:
        shape:
        - 224
        - 224
        dtype: float32
  - name: NISP_H_image
    dtype:
      array2_d:
        shape:
        - 224
        - 224
        dtype: float32
  - name: SED
    sequence: float32
  splits:
  - name: train
    num_bytes: 9230689639.0
    num_examples: 10000
  - name: test
    num_bytes: 9231368005.0
    num_examples: 10000
  download_size: 15929958775
  dataset_size: 18462057644.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

# Euclid galaxies for training astroPT

Here we have ~300 000 galaxy cutouts from Euclid Q1 Data Release. The cutouts are 224x224 pixel images centred on the galaxy source.

Galaxy images are accompanied by their SEDs composed with filters: MegaCam_u, HSC_g, MegaCam_r, Pan-STARRS_i, HSC_z, DECam_g,  DECam_r, DECam_i, DECam_z, I_E, Y_E, J_E, and H_E. 




## Useful links

Paper here: TBD

Models here: [https://huggingface.co/collections/msiudek/astropt-euclid-67d061928ac0a447265ac8b8](https://huggingface.co/collections/msiudek/astropt-euclid-67d061928ac0a447265ac8b8)

Code here: [https://github.com/smith42/astroPT](https://github.com/smith42/astroPT)