datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
flux-delight-dataset
FLUX Delighting Dataset
A dataset for training delighting models - removing lighting effects and converting images to uniform ambient lighting while preserving subject identity.
The dataset was created using imgaes from https://unsplash.com.
Task
Input: Image with various lighting conditions (spotlights, colored lights, dramatic shadows, etc.)
Output: Same image with uniform, ambient lighting and no harsh shadows
Prompt: "Remove all lighting and shadows. Make the image… See the full description on the dataset page: https://huggingface.co/datasets/linoyts/flux-delight-dataset.Seoul_bikeh2f_delight_train
Description
This is the dataset from DELIGHT [1], a model that locates the host galaxy of a
transient from multi-resolution images. The difference with the original is that
the images are not the cutouts used in the paper: they were regenerated from
hips2fits
(PanSTARRS DR1 HiPS, served by CDS).
It contains 7,350 objects, meant for training and validation. The fold
column carries a ready-made 5-fold cross-validation split, so the same file
covers both roles. Held-out evaluation… See the full description on the dataset page: https://huggingface.co/datasets/PRISM-Astro/h2f_delight_train.h2f_delight_radius_norm
Description
This is the dataset from DELIGHT [1], a model that locates the host galaxy of a
transient from multi-resolution images. The difference with the original is that
the images are not the cutouts used in the paper: they were regenerated from
hips2fits
(PanSTARRS DR1 HiPS, served by CDS).
It contains 9,246 examples, built by autolabeling: transient positions are
simulated, not observed. For each of the 7,093 host galaxies in
h2f_delight_train,
positions are drawn… See the full description on the dataset page: https://huggingface.co/datasets/PRISM-Astro/h2f_delight_radius_norm.h2f_delight_autolabeling_1pct
Description
This is the dataset from DELIGHT [1], a model that locates the host galaxy of a
transient from multi-resolution images. The difference with the original is that
the images are not the cutouts used in the paper: they were regenerated from
hips2fits
(PanSTARRS DR1 HiPS, served by CDS).
It contains 535,743 examples, built by autolabeling: transient positions are
simulated, not observed. For each of the 7,350 host galaxies in
h2f_delight_train,
positions are drawn… See the full description on the dataset page: https://huggingface.co/datasets/PRISM-Astro/h2f_delight_autolabeling_1pct.h2f_delight_radius_norm_p4
Description
This is the dataset from DELIGHT [1], a model that locates the host galaxy of a
transient from multi-resolution images. The difference with the original is that
the images are not the cutouts used in the paper: they were regenerated from
hips2fits
(PanSTARRS DR1 HiPS, served by CDS).
It contains 12,610 examples, built by autolabeling: transient positions are
simulated, not observed. For each of the 7,093 host galaxies in
h2f_delight_train,
positions are drawn… See the full description on the dataset page: https://huggingface.co/datasets/PRISM-Astro/h2f_delight_radius_norm_p4.