Search is not available for this dataset
id
string
length
int64
group
class label
format
class label
canvas_width
int64
canvas_height
int64
category
class label
title
string
suitability
sequence
keywords
sequence
industries
sequence
preview
image
type
sequence
left
sequence
top
sequence
width
sequence
height
sequence
angle
sequence
opacity
sequence
color
sequence
image
images list
text
sequence
font
sequence
font_size
sequence
font_bold
sequence
font_italic
sequence
text_line
sequence
text_color
sequence
text_align
sequence
capitalize
sequence
line_height
sequence
letter_spacing
sequence
cluster_index
int64
589b107395a7a863ddcc47d8
8
3SMA
7Instagram AD
1,080
1,080
5handcraftArt
Colors Inspiration Frame on Colorful Blots
[]
[ "art", "blue", "bright", "colorful", "craft", "frame", "palette", "yellow", "round", "circles", "blots", "ad", "instagram", "ig", "insta", "advertisement" ]
[ 7, 5, 0 ]
[ 3, 0, 0, 0, 0, 0, 1, 1 ]
[ 0, 52, 214, 232, 470, 470, 273.1875305175781, 289.8498840332031 ]
[ 0, 122, 355, 374, 416, 647, 523.8593139648438, 460.4125061035156 ]
[ 1080, 982, 651, 616, 139, 139, 520.7840576171875, 497 ]
[ 1080, 828, 370, 331, 18, 18, 87.99996948242188, 68.9999771118164 ]
[ 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 0.7300000190734863, 1, 1, 1, 1, 1, 1, 1 ]
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[ "", "", "", "", "", "", "You Never Heard Of", "13 colors" ]
[ 0, 0, 0, 0, 0, 0, 153, 49 ]
[ 0, 0, 0, 0, 0, 0, 88, 69 ]
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[ 0, 0, 0, 0, 0, 0, 3, 2 ]
[ false, false, false, false, false, false, false, false ]
[ 1, 1, 1, 1, 1, 1, 1, 1 ]
[ 0, 0, 0, 0, 0, 0, 0, 0 ]
2
5ad0b10c4b568b8eec687531
7
2MM
32Presentation Wide
1,920
1,080
21kidsParents
Cute baby sleeping
[]
[ "adorable", "baby", "child", "childhood", "infant", "kid", "nursery", "sleep", "sleeping", "healthy", "white", "bed", "presentation", "home" ]
[ 1, 15, 0 ]
[ 2, 0, 1, 1, 1, 0, 0 ]
[ -2.700000047683716, 1451, 1634.9537353515625, 1525, 1321.962158203125, 1499, 1593 ]
[ 76.30000305175781, 75, 403.9916076660156, 418.9916076660156, 235.96218872070312, 429, 372 ]
[ 1844.5, 323, 109, 160, 422, 5, 50 ]
[ 930.2000122070312, 583, 120, 100, 94, 80, 3 ]
[ 0, 0, 0, 0, 0, 0, 0 ]
[ 1, 1, 1, 1, 1, 1, 1 ]
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[ "", "", "&", "Advice Ideas", "Nursery", "", "" ]
[ 0, 0, 15, 15, 15, 0, 0 ]
[ 0, 0, 120, 44, 94, 0, 0 ]
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[ 0, 0, 1, 1, 1, 0, 0 ]
[ false, false, false, false, false, false, false ]
[ 1, 1, 1, 1.1399999856948853, 1, 1, 1 ]
[ 0, 0, 0, 0, 0, 0, 0 ]
3
5efdd4a3499b85dcc7603ac3
6
2MM
37T-Shirt
1,008
1,296
0holidaysCelebration
Cute Colourful Quote
[]
[ "quote", "bright", "colourful", "abstract", "graphic", "font", "t-shirt", "tshirt", "typography" ]
[ 1, 0 ]
[ 1, 1, 1, 0, 1, 1 ]
[ 321, 318, 296, 308, 295.1052551269531, 383 ]
[ 306.52630615234375, 245.63157653808594, 648.1578979492188, 509, 635.26318359375, 503.2631530761719 ]
[ 374, 371, 425, 392, 415, 245 ]
[ 210, 153, 376, 116, 154, 146 ]
[ 0, 355.23382568359375, 6.302535533905029, 0, 0, 0 ]
[ 1, 1, 1, 1, 1, 1 ]
[ [], [], [], [ "rgba(255, 51, 102, 1)" ], [], [] ]
[ "why", "That’s", "ME", "", "NEED", "you" ]
[ 250, 199, 113, 0, 58, 95 ]
[ 210, 153, 376, 0, 154, 147 ]
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[ 2, 2, 2, 0, 2, 2 ]
[ false, false, false, false, false, false ]
[ 1, 1, 1, 1, 1, 1 ]
[ 0, 0, 0, 0, 0, 0 ]
5
5bd827cd78e1194aa645b310
7
3SMA
7Instagram AD
1,080
1,080
14realEstateBuilding
Real Estate Sale Houses at Sea Coastline
[]
[ "architecture", "buildings", "coast", "district", "houses", "location", "property", "real estate", "residence", "sea", "town", "water", "ad", "instagram", "ig", "insta", "advertisement" ]
[ 4, 10, 20, 16 ]
[ 2, 2, 1, 2, 0, 1, 1 ]
[ -518.0999755859375, 639.7000122070312, 64.36582946777344, 64.4000015258789, 872, 64.37258911132812, 675.60595703125 ]
[ -94.4000015258789, -1.100000023841858, 103.59314727783203, 241.10000610351562, 868, 936.2017211914062, 799.150146484375 ]
[ 2123.699951171875, 445.5, 419, 762.2000122070312, 208, 405, 315 ]
[ 1415.4000244140625, 1081.5999755859375, 50, 620.5, 6, 50, 210 ]
[ -167.4930419921875, 0, 0, 0, 0, 0, 0 ]
[ 0.8100000023841858, 1, 1, 1, 1, 1, 1 ]
[ [], [], [], [], [ "rgba(216, 235, 234, 1)" ], [], [] ]
[ "", "", "WATERFRONT", "", "", "PROPERTIES ", "for\n sale" ]
[ 0, 0, 6, 0, 0, 6, 6 ]
[ 0, 0, 50, 0, 0, 50, 127 ]
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6
5931459e95a7a863ddcdceb0
10
4EO
21Card
419
298
15travelsVacations
Barcelona tour advertisement
[]
[ "heart sign", "city", "skyscrapers", "buildings", "sky", "clouds", "fence", "frame", "square", "card" ]
[]
[ 3, 0, 2, 0, 0, 0, 0, 1, 1, 1 ]
[ 0, -1, 122.6371078491211, 0, 20, 14, 350, 170.15509033203125, 43, 21.930099487304688 ]
[ 0, -1, 65.09416961669922, 0, 16, 42, 219, 249.2845458984375, 18, 26.990131378173828 ]
[ 419, 421, 254.6515350341797, 80, 41, 77, 56, 157.46119689941406, 412, 36 ]
[ 298, 421, 169.17410278320312, 298, 55, 53, 55, 34.73684310913086, 35, 31.578947067260742 ]
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ]
[ 1, 1, 1, 1, 1, 1, 0.8399999737739563, 1, 1, 1 ]
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[ "", "", "", "", "", "", "", "Barcelona!", "Greetings from", "WITH\nALL MY\nLOVE" ]
[ 0, 0, 0, 0, 0, 0, 0, 23, 23, 32 ]
[ 0, 0, 0, 0, 0, 0, 0, 35, 35, 8 ]
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7
5eec8faa499b85dcc7dfede0
10
1HC
43LinkedIn Cover
1,128
191
3businessFinance
Man working for Analytics Company
[]
[ "agency", "grey", "analytics", "business", "businessman", "company", "consulting", "corporate", "services", "linkedin", "cover" ]
[ 4, 18, 2 ]
[ 4, 0, 0, 1, 4, 0, 0, 4, 1, 0 ]
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[ -289, 95, -15, 143, -152, -100, -270, -3, 20, 376 ]
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[ "", "", "", "ANALYTICS COMPANY ", "", "", "", "", "ARGONAVIA", "" ]
[ 0, 0, 0, 36, 0, 0, 0, 0, 36, 0 ]
[ 0, 0, 0, 34, 0, 0, 0, 0, 65, 0 ]
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9
59006c2095a7a863ddcd24a1
10
2MM
6Poster
1,190
1,683
12socialActivityCharity
Special Event devoted to International Day of Forests
[]
[ "march", "special", "event", "international", "day", "forest", "joint", "celebration", "investing", "nature", "trees", "green", "ecology", "bio", "ecological", "site", "website", "poster" ]
[ 10, 0, 11 ]
[ 2, 0, 0, 0, 0, 1, 1, 1, 1, 1 ]
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[ -66.7557601928711, 228.02398681640625, 1617.9437255859375, 1491.49365234375, 0, 1634.7772216796875, 1517.1644287109375, 1124.7420654296875, 445.39471435546875, 30.31420135498047 ]
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[ 1690.5145263671875, 1201.424560546875, 72.80088806152344, 125.14723205566406, 152, 27.29189109802246, 68.22972869873047, 77.3270263671875, 625.439208984375, 84.1500015258789 ]
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[ "", "", "", "", "", "To find out more about activities in your area visit www.aughtlins.com/forestday", "\"Investing in forests is an insurance policy for\nthe planet\"\". - Secretary-General Ban Ki-moon", "Joint celebration &\nForest cleanup", "Special Event\nDevoted to\nInternational\nDay of\nForests", "21 March" ]
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7leisureEntertainment
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Save the Date Decorative Frame with Cupids
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[ "blue", "border", "cupids", "decoration", "emblem", "flags", "frame", "greeting", "ornament", "retro", "ribbon", "scroll", "vintage", "save the date", "facebook", "post", "fb" ]
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[ "", "", "", "", "", "", "", "", "BOSTON", "09:00 PM", "08.08.2014", "Elena & David", "for the wedding of", "SAVE THE DATE" ]
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Church invitation with Candles in frame
[ 0 ]
[ "belief", "candles", "christian", "christianity", "church", "faith", "hope", "pray", "purple", "religion", "religious", "post" ]
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[ "", "", "", "950 Fountainbleau Dr\nFor more information,\nplease call\n+83 038 398 1183", "SUNDAY, SEP 8\n5 PM", "KENNER\nBAPTIST\nCHURCH", "Join us this weekend\nfor the 60th\nAnniversary Service" ]
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36VK Post with Button
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4homeStuff
Green Houseplants in Pots
[]
[ "botany", "floral", "flowers", "flower shop", "gardening", "growing", "plants", "shop", "florist", "vk", "post", "snippet", "home" ]
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0SM
0Instagram Story
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Businessman crossing finish line
[ 0 ]
[ "blue", "business", "businessman", "career", "enterprise", "fast", "finish", "line", "running", "rush", "success", "time", "time management", "worker", "story", "instagram", "ig", "insta", "hr", "hiring", "recruitment", "yellow" ]
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Citation about dog pet
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[ "cartoon", "animal", "dog", "pudel", "puppy", "head", "eyes", "nose", "sad", "bone", "socialization", "white", "black", "quote", "text", "header" ]
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[ "", "", "", "", "THEY ARE NOT JUST FOR\nHOLIDAYS BUT FOR LIFE" ]
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Citation about Diversity of Skin Color
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[ "", "", "LAUNDRY\nis the only\nthing THAT\nSHOULD BE\nSEPARATED\nBY COLOR" ]
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40

Dataset Card for Crello

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 were collected from crello.com (now create.vista.com) and converted to a low-resolution format suitable for machine learning analysis.

Usage

import datasets

dataset = datasets.load_dataset("cyberagent/crello", revision="5.0.0")

Supported Tasks and Leaderboards

CanvasVAE 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.

To get a label for categorical values, use the int2str method:

data = dataset['train'] # obtain the train set
key = "font"
example = data[0] # obtain the first sample in train set

data.features[key].feature.int2str(example[key]) # obtain the text equivalent of the encoded values

Data Fields

In the following, categorical fields are shown as categorical type, but the actual storage is int64.

Canvas attributes

Field Type Shape Description
id string () Template ID from create.vista.com
group categorical () Broad design groups, such as social media posts or blog headers
format categorical () Detailed design formats, such as Instagram post or postcard
category categorical () 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 elements
suitability categorical (None,) List of display tags, only mobile tag exists
keywords string (None,) List of keywords associated to this template
industries categorical (None,) List of industry tags like marketingAds
preview image () Preview image of the template for convenience
cluster_index int64 () Cluster index used to split the dataset; only for debugging

Element attributes

Field Type Shape Description
type categorical (None,) Element type, such as vector shape, image, or text
left float32 (None,) Element left position
top float32 (None,) Element top position
width float32 (None,) Element width
height float32 (None,) Element height
color string (None, None) RGB color palette of the vector graphic element
opacity float32 (None,) Opacity in [0, 1] range
image image (None,) Pre-rendered preview of the element encoded in PNG format
text string (None,) Text content in UTF-8 encoding for text element
font categorical (None,) Font family name for text element
font_size float32 (None,) Font size (height) in pixels
text_align categorical (None,) Horizontal text alignment, left, center, right for text element
angle float32 (None,) Element rotation angle (degree) w.r.t. the center of the element
font_bold boolean (None, None) Character-wise flag to indicate bold font
font_italic boolean (None, None) Character-wise flag to indicate italic font
text_color string (None, None) Character-wise rgba color
text_line int64 (None, None) Character-wise index of line number
capitalize boolean (None,) Binary flag to capitalize letters
line_height float32 (None,) Scaling parameter to line height, default is 1.0
letter_spacing float32 (None,) Adjustment parameter for letter spacing, default is 0.0

left and top can be negative because elements can be bigger than the canvas size. text_line indicates the index of the text line. For example, the following indicates that Be is in the first line and the rest in the next line. The newline character \n if present is ignored in rendering.

{
  "text": "Be\nambitious!",
  "text_line": [0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Note that 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>

Data Splits

The Crello dataset has 3 splits: train, validation, and test. The current split is generated based on appearance-based clustering.

Visualization

Each example can be visualized in the following approach using cr-renderer.

https://github.com/CyberAgentAILab/cr-renderer

Note the renderer does not guarantee a similar appearance to the original template. Currently, the quality of text rendering is far from perfect.

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 the above format.

Who are the source language producers?

While create.vista.com owns those templates, the templates seem to be originally created by a specific 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 utilization might enable the 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 (formally, crello.com). The distributor ("We") do not own the copyrights of the original design templates. By using the Crello dataset, the user of this dataset ("You") must agree to the VistaCreate License Agreements.

The dataset is distributed under CDLA-Permissive-2.0 license.

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}
}

Releases

5.1.0: v5.1 release (Oct 31, 2024)

  • Pre-rendered layer images are now resized to fit the longer side in 1024px

5.0.0: v5 release (Sep 18, 2024)

  • Element positions and sizes are not normalized by canvas size
  • Angle is in degrees instead of radians.
  • New rich-text attributes (font_bold, font_italic, font_color, text_line) that specify character-level styling
  • Pre-rendered layer images are now resized to fit the longer side in 512px
  • Significantly improved pre-rendering quality for each layer
  • Color attribute now only contains palette when the original data has
  • There are now five element types
  • Dataset split is updated, no compatibility with v4.

4.0.0: v4 release (Dec 5, 2023)

  • Change the dataset split based on the template appearance to avoid near-duplicates: no compatibility with v3.
  • Class labels have been reordered: no compabilitity with v3.
  • Small improvement to font rendering.

3.1: bugfix release (Feb 16, 2023)

  • Fix a bug that ignores newline characters in some of the texts.

3.0: v3 release (Feb 13, 2023)

  • Migrate to Hugging Face Hub.
  • Fix various text rendering bugs.
  • Change split generation criteria for avoiding near-duplicates: no compatibility with v2 splits.
  • Incorporate a motion picture thumbnail in templates.
  • Add title, keywords, suitability, and industries canvas attributes.
  • Add capitalize, line_height, and letter_spacing element attributes.

2.0: v2 release (May 26, 2022)

  • Add text, font, font_size, text_align, and angle element attributes.
  • Include rendered text element in image_bytes.

1.0: v1 release (Aug 24, 2021)

Contributions

Thanks to @kyamagu for adding this dataset.

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