File size: 1,550 Bytes
1b0de99 87b92ed 1b0de99 87b92ed 1b0de99 87b92ed 1b0de99 87b92ed 1b0de99 a6fcae0 1b0de99 90ed591 180ee2a 28a8c7e 180ee2a 90ed591 180ee2a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
---
license: cc-by-sa-4.0
size_categories:
- 1M<n<10M
dataset_info:
features:
- name: image
dtype: image
- name: dr8_id
dtype: string
splits:
- name: train
num_bytes: 959387460144.3469
num_examples: 8474566
- name: test
num_bytes: 9785671701.822557
num_examples: 86471
- name: validation
num_bytes: 9798204502.80013
num_examples: 86499
download_size: 982501453040
dataset_size: 978971336348.9696
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: validation
path: data/validation-*
tags:
- astronomy
---
# Galaxies for training astroPT
Here we have ~8.5 million galaxy cutouts from the [DESI legacy survey DR8](https://www.legacysurvey.org/dr8/description/).
The cut outs are 512x512 pixel jpg images centred on the galaxy source.
I've split away 1% of the images into a test set, and 1% into a validation set.
The remaining 98% of the images comprise the training set.
There is also accompanying metadata!
The metadata is in parquet format in the root dir of this repo.
You can link the metadata with the galaxies via their dr8_id.
## Useful links
Models here: [https://huggingface.co/Smith42/astroPT](https://huggingface.co/Smith42/astroPT)
Code here: [https://github.com/smith42/astroPT](https://github.com/smith42/astroPT)
Upstream catalogue is [on Zenodo](https://zenodo.org/records/8360385) and paper describing the catalogue is available as [Walmsley+2023](https://doi.org/10.1093/mnras/stad2919). |