Danbooru SFW
Collection
Danbooru SFW preprocessing.
•
3 items
•
Updated
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on.
Error code: UnexpectedError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
image
image | crop
sequence |
|---|---|
[
0.2109375,
0.068359375,
0.548828125
] |
|
[
0.13671875,
0.130859375,
0.69921875
] |
|
[
0.181640625,
0.021484375,
0.625
] |
|
[
0.138671875,
0.20703125,
0.474609375
] |
|
[
0.11328125,
0.01171875,
0.7734375
] |
|
[
0.087890625,
0.046875,
0.849609375
] |
|
[
0.1796875,
0.056640625,
0.625
] |
|
[
0.12109375,
0.017578125,
0.849609375
] |
|
[
0.189453125,
0.02734375,
0.7734375
] |
|
[
0.16015625,
0.1015625,
0.69921875
] |
|
[
0.263671875,
0.01953125,
0.474609375
] |
|
[
0.109375,
0.13671875,
0.69921875
] |
|
[
0.1875,
0.24609375,
0.625
] |
|
[
0.1953125,
0.072265625,
0.69921875
] |
|
[
0.2109375,
0.21875,
0.548828125
] |
|
[
0.10546875,
0.107421875,
0.7734375
] |
|
[
0.19140625,
0.1328125,
0.625
] |
|
[
0.2109375,
0.06640625,
0.625
] |
|
[
0.267578125,
0.021484375,
0.474609375
] |
|
[
0.33203125,
0.22265625,
0.548828125
] |
|
[
0.33203125,
0.359375,
0.474609375
] |
|
[
0.1875,
0.060546875,
0.625
] |
|
[
0.076171875,
0.21875,
0.548828125
] |
|
[
0.2890625,
0.154296875,
0.625
] |
|
[
0.1875,
0.0390625,
0.625
] |
|
[
0.201171875,
0.015625,
0.625
] |
|
[
0.1796875,
0.0625,
0.625
] |
|
[
0.1796875,
0.029296875,
0.625
] |
|
[
0.2421875,
0.12109375,
0.548828125
] |
|
[
0.181640625,
0.099609375,
0.625
] |
|
[
0.1875,
0.162109375,
0.625
] |
|
[
0.12890625,
0.03125,
0.7734375
] |
|
[
0.21484375,
0.001953125,
0.548828125
] |
|
[
0.3125,
0.205078125,
0.474609375
] |
|
[
0.0234375,
0.037109375,
0.923828125
] |
|
[
0.2265625,
0.046875,
0.548828125
] |
|
[
0.21875,
0.013671875,
0.548828125
] |
|
[
0.1953125,
0.01953125,
0.69921875
] |
|
[
0.14453125,
0.146484375,
0.625
] |
|
[
0.158203125,
0.076171875,
0.69921875
] |
|
[
0.177734375,
0.048828125,
0.625
] |
|
[
0.177734375,
0.037109375,
0.625
] |
|
[
0.1171875,
0.0546875,
0.7734375
] |
|
[
0.28125,
0.205078125,
0.548828125
] |
|
[
0.1875,
0.07421875,
0.625
] |
|
[
0.0390625,
0.3359375,
0.474609375
] |
|
[
0.388671875,
0.21875,
0.474609375
] |
|
[
0.203125,
0.052734375,
0.548828125
] |
|
[
0.189453125,
0.052734375,
0.625
] |
|
[
0.390625,
0.193359375,
0.548828125
] |
|
[
0.20703125,
0.0234375,
0.625
] |
|
[
0.23046875,
0.060546875,
0.548828125
] |
|
[
0.1171875,
0.056640625,
0.7734375
] |
|
[
0.408203125,
0.318359375,
0.32421875
] |
|
[
0.0859375,
0.0859375,
0.7734375
] |
|
[
0.0390625,
0.095703125,
0.69921875
] |
|
[
0.1484375,
0.240234375,
0.625
] |
|
[
0.33984375,
0.05078125,
0.32421875
] |
|
[
0.306640625,
0.015625,
0.3984375
] |
|
[
0.140625,
0.06640625,
0.69921875
] |
|
[
0.12890625,
0.078125,
0.69921875
] |
|
[
0.357421875,
0.326171875,
0.474609375
] |
|
[
0.1328125,
0.025390625,
0.69921875
] |
|
[
0.1796875,
0.125,
0.625
] |
|
[
0.263671875,
0.0390625,
0.474609375
] |
|
[
0.224609375,
0.171875,
0.548828125
] |
|
[
0.029296875,
0.17578125,
0.548828125
] |
|
[
0.2890625,
0.044921875,
0.474609375
] |
|
[
0.185546875,
0.0234375,
0.625
] |
|
[
0.15625,
0.01953125,
0.69921875
] |
|
[
0.111328125,
0.07421875,
0.7734375
] |
|
[
0.1640625,
0.0078125,
0.625
] |
|
[
0.17578125,
0.080078125,
0.625
] |
|
[
0.26953125,
0.00390625,
0.3984375
] |
|
[
0.125,
0.11328125,
0.625
] |
|
[
0.064453125,
0.080078125,
0.7734375
] |
|
[
0.150390625,
0.12109375,
0.69921875
] |
|
[
0.140625,
0.1484375,
0.69921875
] |
|
[
0.05859375,
0.01953125,
0.849609375
] |
|
[
0.34375,
0.1875,
0.548828125
] |
|
[
0.1953125,
0.06640625,
0.625
] |
|
[
0.181640625,
0.005859375,
0.625
] |
|
[
0.376953125,
0.07421875,
0.548828125
] |
|
[
0.09765625,
0.080078125,
0.7734375
] |
|
[
0.171875,
0.025390625,
0.625
] |
|
[
0.4296875,
0.259765625,
0.474609375
] |
|
[
0.228515625,
0.208984375,
0.548828125
] |
|
[
0.08984375,
0.015625,
0.7734375
] |
|
[
0.10546875,
0.083984375,
0.7734375
] |
|
[
0.353515625,
0.169921875,
0.625
] |
|
[
0.2109375,
0.041015625,
0.548828125
] |
|
[
0.236328125,
0.01953125,
0.548828125
] |
|
[
0.669921875,
0.34375,
0.32421875
] |
|
[
0.482421875,
0.23828125,
0.474609375
] |
|
[
0.12109375,
0.03515625,
0.7734375
] |
|
[
0.21875,
0.009765625,
0.548828125
] |
|
[
0.2109375,
0.03515625,
0.548828125
] |
|
[
0.21875,
0.12890625,
0.548828125
] |
|
[
0.552734375,
0.3359375,
0.32421875
] |
|
[
0.119140625,
0.015625,
0.7734375
] |
End of preview.
Danbooru SFW 512px Character Crops
This dataset includes image and bounding box pairs where the images are samples from Danbooru 2021 SFW and the bounding boxes are crops of the central character(s). It can be used to train a model that automatically crops the base dataset in order to create a cleaner and more character-centric version. Importantly, the crops aim to remove artifacts such as horizontal/vertical bars that could negatively impact performance on image generation tasks.
Bounding Boxes
The base images are all 512x512, the bounding boxes represent crops with a maximium size of 512x512 and a minimum size of 128x128. Each bounding box is represented as a 3-dimensional vector [x, y, s] where x is the left coordinate of the box, y is the top coordinate of the box, and s is the side length of the box. These elements have been converted to floats and normalized according to their maximum possible values (512). For example, [16, 28, 256] would have been converted to [16/512, 28/512, 256/512], or [0.03125, 0.0546875, 0.5]. Using this conversion, the minimum value of s is 128/512, or 0.25.
Original Dataset Citation
@misc{danbooru2021,
author={Anonymous and Danbooru community and Gwern Branwen},
title={Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset},
howpublished={\url{https://gwern.net/danbooru2021}},
url={https://gwern.net/danbooru2021},
type={dataset},
year={2022},
month={January},
timestamp={2022-01-21},
note={Accessed: 2023-12-06}
}
- Downloads last month
- 6