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Datasets:
cyberagent
/
crello

Tasks:
Unconditional Image Generation
Modalities:
Image
Text
Time-series
Formats:
parquet
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
graphic design
design templates
Libraries:
Datasets
Dask
Croissant
License:
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---
annotations_creators:
- no-annotation
language:
- en
language_creators:
- found
license:
- other
multilinguality:
- monolingual
pretty_name: crello
size_categories:
- 1K<n<10K
source_datasets:
- original
tags:
- graphic design
- design templates
task_categories:
- unconditional-image-generation
task_ids: []
---
# Dataset Card for Crello
## Table of Contents
- [Dataset Card for Crello](#dataset-card-for-crello)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
- [Who are the source language producers?](#who-are-the-source-language-producers)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [CanvasVAE github](https://github.com/CyberAgentAILab/canvas-vae)
- **Repository:**
- **Paper:** [CanvasVAE: Learning to Generate Vector Graphic Documents](https://arxiv.org/abs/2108.01249)
- **Leaderboard:**
- **Point of Contact:** [Kota Yamaguchi](https://github.com/kyamagu)
### Dataset Summary
The Crello dataset is compiled for the study of vector graphic documents. The dataset contains document meta-data such as canvas size and pre-rendered elements such as images or text boxes. The original templates was collected from [crello.com](https://crello.com) (now [create.vista.com](https://create.vista.com/)) and converted to low-resolution format suitable for machine learning analysis.
### Supported Tasks and Leaderboards
[CanvasVAE](https://arxiv.org/abs/2108.01249) studies unsupervised document generation.
### Languages
Almost all design templates use English.
## Dataset Structure
### Data Instances
Each instance has scalar attributes (canvas) and sequence attributes (elements). Categorical values are stored as integer values. Check `ClassLabel` features of the dataset for the list of categorical labels.
```
{'id': '5bd1c85078e1194aa6186300',
'length': 11,
'group': 4,
'format': 10,
'canvas_width': 40,
'canvas_height': 41,
'category': 1,
'type': [3, 3, 3, 3, 3, 3, 4, 1, 4, 4, 3],
'left': [0.8712766170501709,
0.42127659916877747,
0.14468085765838623,
0.8585106134414673,
0.8819149136543274,
0.043617021292448044,
0.30696335434913635,
0.0010638297535479069,
0.7409376502037048,
0.4813956916332245,
0.30744680762290955],
'top': [0.0,
0.0,
0.874365508556366,
0.6967005133628845,
0.6967005133628845,
0.9060913920402527,
0.8984156250953674,
0.113832488656044,
0.434346079826355,
0.14983975887298584,
0.05710659921169281],
'width': [0.12989361584186554,
0.2329787164926529,
0.42127659916877747,
0.0010638297535479069,
0.0010638297535479069,
0.20425531268119812,
0.2213829755783081,
0.5641489624977112,
0.2148936241865158,
0.2951063811779022,
0.6446808576583862],
'height': [1.0,
0.5164974331855774,
0.06598984450101852,
0.24365481734275818,
0.24365481734275818,
0.0012690355069935322,
0.026649747043848038,
0.7272842526435852,
0.2753807008266449,
0.2842639684677124,
0.7271573543548584],
'opacity': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
'text': ['',
'',
'',
'',
'',
'',
'Powerful Ways',
'',
'11',
'Powerful Ways\nTo Take Care\nOf Your Skin\nIn Summer',
''],
'font': [0, 0, 0, 0, 0, 0, 24, 0, 24, 189, 0],
'font_size': [0.0,
0.0,
0.0,
0.0,
0.0,
0.0,
21.504981994628906,
0.0,
217.0,
43.18538284301758,
0.0],
'text_align': [0, 0, 0, 0, 0, 0, 2, 0, 2, 2, 0],
'angle': [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
'color': [[236.0, 96.0, 104.0],
[236.0, 96.0, 104.0],
[29.0, 29.0, 27.0],
[29.0, 29.0, 27.0],
[29.0, 29.0, 27.0],
[29.0, 29.0, 27.0],
[0.0, 0.0, 1.0],
[228.0, 148.0, 151.0],
[0.0, 0.0, 1.0],
[0.0, 0.0, 1.0],
[29.0, 29.0, 27.0]],
'image': [<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>]}
```
### Data Fields
**Context features (Canvas attributes)**
| Field | Type | Shape | Description |
| ------------- | ------ | ----- | -------------------------------------------------------------- |
| id | string | () | Template ID from crello.com |
| group | string | () | Broad design group, such as social media posts or blog headers |
| format | string | () | Detailed design format, such as Instagram post or postcard |
| category | string | () | Topic category of the design, such as holiday celebration |
| canvas_width | int64 | () | Canvas pixel width |
| canvas_height | int64 | () | Canvas pixel height |
| length | int64 | () | Length of sequence features |
**Sequence features (Element attributes)**
| Field | Type | Shape | Description |
| ----------- | ------- | ----- | -------------------------------------------------------------------- |
| type | string | () | Element type, such as vector shape, image, or text |
| left | float32 | () | Element left position normalized to [0, 1] range w.r.t. canvas_width |
| top | float32 | () | Element top position normalized to [0, 1] range w.r.t. canvas_height |
| width | float32 | () | Element width normalized to [0, 1] range w.r.t. canvas_width |
| height | float32 | () | Element height normalized to [0, 1] range w.r.t. canvas_height |
| color | int64 | (3,) | Extracted main RGB color of the element |
| opacity | float32 | () | Opacity in [0, 1] range |
| image_bytes | string | () | Pre-rendered 256x256 preview of the element encoded in PNG format |
| text | string | () | Text content in UTF-8 encoding for text element |
| font | string | () | Font family name for text element |
| font_size | float32 | () | Font size (height) in pixels |
| text_align | string | () | Horizontal text alignment, left, center, right for text element |
| angle | float32 | () | Element rotation angle (radian) w.r.t. the center of the element |
Note that the color and pre-rendered images are do not necessarily accurately
reproduce the original design templates.
The original template is accessible at the following URL if still available.
```
https://create.vista.com/artboard/?template=<template_id>
```
### Data Splits
The Crello dataset has 3 splits: train, validation, and test. The current split is generated such that the same title of the original template shows up in only in one split.
| Split | Count |
| --------- | ----- |
| train | 18659 |
| validaton | 2391 |
| test | 2371 |
## Dataset Creation
### Curation Rationale
The Crello dataset is compiled for the general study of vector graphic documents, with the goal of producing a dataset that offers complete vector graphic information suitable for neural methodologies.
### Source Data
#### Initial Data Collection and Normalization
The dataset is initially scraped from the former `crello.com`, and pre-processed to
#### Who are the source language producers?
While [create.vista.com](https://create.vista.com/)) owns those templates, the templates seems to be originially created by certain group of design studios.
### Personal and Sensitive Information
The dataset does not contain any personal information about the creator, but may contain a picture of people in the design template.
## Considerations for Using the Data
### Social Impact of Dataset
This dataset was developed for advancing the general study of vector graphic documents, especially for generative systems of graphic design. Successful systems might enable automation of creative workflow that human designers get involved in.
### Discussion of Biases
The templates contained in the dataset reflect the biases appearing in the source data, which could present gender biases in specific design categories.
### Other Known Limitations
Due to the unknown data specification of the source data, the color and pre-rendered images do not necessarily accurately reproduce the original design templates. The original template is accessible at the following URL if still available.
https://create.vista.com/artboard/?template=<template_id>
## Additional Information
### Dataset Curators
The Crello dataset was developed by Kota Yamaguchi.
### Licensing Information
The origin of the dataset is [create.vista.com](https://create.vista.com) (formally, `crello.com`).
The distributor ("We") do not own the copyrights of the original design templates.
By using Crello dataset, the user of this dataset ("You") must agree to the
[VistaCreate License Agreements](https://create.vista.com/faq/legal/licensing/license_agreements/).
The dataset is distributed under [CDLA-Permissive-2.0 license](https://cdla.dev/permissive-2-0/).
**Note**
We do not re-distribute the original files as we are not allowed by terms.
### Citation Information
@article{yamaguchi2021canvasvae,
title={CanvasVAE: Learning to Generate Vector Graphic Documents},
author={Yamaguchi, Kota},
journal={ICCV},
year={2021}
}
### Contributions
Thanks to [@kyamagu](https://github.com/kyamagu) for adding this dataset.