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metadata
annotations_creators:
  - no-annotation
language:
  - en
language_creators:
  - found
license:
  - other
multilinguality:
  - monolingual
pretty_name: crello
size_categories:
  - 10K<n<100K
source_datasets:
  - original
tags:
  - graphic design
  - design templates
task_categories:
  - unconditional-image-generation
task_ids: []
dataset_info:
  features:
    - name: id
      dtype: string
    - name: length
      dtype: int64
    - name: group
      dtype:
        class_label:
          names:
            '0': BG
            '1': EO
            '2': HC
            '3': MM
            '4': SM
            '5': SMA
    - name: format
      dtype:
        class_label:
          names:
            '0': Album Cover
            '1': Book Cover
            '2': Brochure
            '3': Business card
            '4': Calendar
            '5': Card
            '6': Certificate
            '7': Coupon
            '8': Email header
            '9': FB event cover
            '10': Facebook
            '11': Facebook AD
            '12': Facebook cover
            '13': Flayer
            '14': Gallery Image
            '15': Gift Certificate
            '16': Graphic
            '17': IGTV Cover
            '18': Image
            '19': Infographic
            '20': Instagram
            '21': Instagram AD
            '22': Instagram Highlight Cover
            '23': Instagram Story
            '24': Invitation
            '25': Invoice
            '26': Label
            '27': Large Rectangle
            '28': Leaderboard
            '29': Letterhead
            '30': LinkedIn Cover
            '31': Logo
            '32': Medium Rectangle
            '33': Menu
            '34': Mind Map
            '35': Mobile Presentation
            '36': Mood Board
            '37': Newsletter
            '38': Photo Book
            '39': Pinterest
            '40': Postcard
            '41': Poster
            '42': Poster US
            '43': Presentation
            '44': Presentation Wide
            '45': Proposal
            '46': Recipe Card
            '47': Resume
            '48': Schedule Planner
            '49': Skyscraper
            '50': Snapchat Geofilter
            '51': Snapchat Moment Filter
            '52': Storyboard
            '53': T-Shirt
            '54': Ticket
            '55': Title
            '56': Tumblr
            '57': Twitch Offline Banner
            '58': Twitch Profile Banner
            '59': Twitter
            '60': VK Community Cover
            '61': VK Post with Button
            '62': VK Universal Post
            '63': Web Banner
            '64': Youtube
            '65': Youtube Thumbnail
            '66': Zoom Background
    - name: canvas_width
      dtype:
        class_label:
          names:
            '0': '1000'
            '1': '1008'
            '2': '1024'
            '3': '1080'
            '4': '1128'
            '5': '1190'
            '6': '1200'
            '7': '1280'
            '8': '1296'
            '9': '1500'
            '10': '1590'
            '11': '160'
            '12': '1600'
            '13': '1920'
            '14': '240'
            '15': '241'
            '16': '2560'
            '17': '300'
            '18': '3000'
            '19': '336'
            '20': '360'
            '21': '396'
            '22': '419'
            '23': '420'
            '24': '432'
            '25': '500'
            '26': '537'
            '27': '540'
            '28': '560'
            '29': '576'
            '30': '595'
            '31': '600'
            '32': '635'
            '33': '728'
            '34': '735'
            '35': '792'
            '36': '800'
            '37': '841'
            '38': '842'
            '39': '851'
            '40': '940'
    - name: canvas_height
      dtype:
        class_label:
          names:
            '0': '1055'
            '1': '1080'
            '2': '1102'
            '3': '1200'
            '4': '1296'
            '5': '141'
            '6': '142'
            '7': '1440'
            '8': '1600'
            '9': '1683'
            '10': '1728'
            '11': '191'
            '12': '1920'
            '13': '200'
            '14': '2000'
            '15': '216'
            '16': '2340'
            '17': '240'
            '18': '250'
            '19': '2560'
            '20': '280'
            '21': '288'
            '22': '297'
            '23': '298'
            '24': '315'
            '25': '320'
            '26': '380'
            '27': '400'
            '28': '480'
            '29': '500'
            '30': '504'
            '31': '512'
            '32': '576'
            '33': '595'
            '34': '600'
            '35': '612'
            '36': '628'
            '37': '654'
            '38': '700'
            '39': '720'
            '40': '768'
            '41': '788'
            '42': '810'
            '43': '841'
            '44': '842'
            '45': '90'
    - name: category
      dtype:
        class_label:
          names:
            '0': all
            '1': beauty
            '2': businessFinance
            '3': citiesPlaces
            '4': educationScience
            '5': fashionStyle
            '6': foodDrinks
            '7': handcraftArt
            '8': holidaysCelebration
            '9': homeStuff
            '10': industry
            '11': kidsParents
            '12': leisureEntertainment
            '13': medical
            '14': natureWildlife
            '15': pets
            '16': realEstateBuilding
            '17': religions
            '18': socialActivityCharity
            '19': sportExtreme
            '20': technology
            '21': transportation
            '22': travelsVacations
    - name: type
      sequence:
        class_label:
          names:
            '0': coloredBackground
            '1': imageElement
            '2': maskElement
            '3': svgElement
            '4': textElement
    - name: left
      sequence: float32
    - name: top
      sequence: float32
    - name: width
      sequence: float32
    - name: height
      sequence: float32
    - name: opacity
      sequence: float32
    - name: text
      sequence: string
    - name: font
      sequence:
        class_label:
          names:
            '0': ''
            '1': Abril Fatface
            '2': Aldrich
            '3': Alef
            '4': Alegreya Sans
            '5': Alfa Slab One
            '6': Alice
            '7': Allerta Stencil
            '8': Allura
            '9': Amatic Sc
            '10': Anton
            '11': Arapey
            '12': Architects Daughter
            '13': Arima Madurai
            '14': Arimo
            '15': Arizonia
            '16': Arkana Script
            '17': Armata
            '18': Assistant
            '19': Bad Script
            '20': Baloo Tamma
            '21': Bangers
            '22': Barrio
            '23': Beacon
            '24': Bebas Neue
            '25': Bellefair
            '26': Bentham
            '27': Berkshire Swash
            '28': Bilbo
            '29': Black Ops One
            '30': Blogger
            '31': Breathe
            '32': Breathe Press
            '33': Brusher
            '34': Brusher Free Font
            '35': Bubbler One
            '36': Buda
            '37': Bungee
            '38': Bungee Shade
            '39': Cabin Sketch
            '40': Caesar Dressing
            '41': Cantarell
            '42': Carter One
            '43': Caveat
            '44': Cedarville Cursive
            '45': Chathura
            '46': Clicker Script
            '47': Comfortaa
            '48': Contrail One
            '49': Cookie
            '50': Copse
            '51': Cormorant Infant
            '52': Courgette
            '53': Cousine
            '54': Covered By Your Grace
            '55': Crete Round
            '56': Cutive Mono
            '57': Damion
            '58': Dancing Script
            '59': David Libre
            '60': Dawning Of A New Day
            '61': Delius
            '62': Delius Swash Caps
            '63': Didact Gothic
            '64': Dorsa
            '65': Dosis
            '66': Droid Serif
            '67': Dukomdesign Constantine
            '68': Eb Garamond
            '69': Economica
            '70': El Messiri
            '71': Elsie
            '72': Elsie Swash Caps
            '73': Euphoria Script
            '74': Ewert
            '75': Exo 2
            '76': Farsan
            '77': Faster One
            '78': Fauna One
            '79': Finger Paint
            '80': Fjalla One
            '81': Forum
            '82': Frank Ruhl Libre
            '83': Fredericka The Great
            '84': Gabriela
            '85': Gaegu
            '86': Geo
            '87': Gfs Didot
            '88': Give You Glory
            '89': Glass Antiqua
            '90': Gluk Glametrix
            '91': Gluk Znikomitno25
            '92': Graduate
            '93': Grand Hotel
            '94': Gravitas One
            '95': Great Vibes
            '96': Gruppo
            '97': Handlee
            '98': Happy Monkey
            '99': Heebo
            '100': Homemade Apple
            '101': Iceberg
            '102': Iceland
            '103': Im Fell
            '104': Im Fell Dw Pica Sc
            '105': Inconsolata
            '106': Italiana
            '107': Italianno
            '108': Jacques Francois Shadow
            '109': Josefin Sans
            '110': Josefin Slab
            '111': Julius Sans One
            '112': Junge
            '113': Jura
            '114': Just Me Again Down Here
            '115': Kalam
            '116': Katibeh
            '117': Kaushan Script
            '118': Kavivanar
            '119': Kelly Slab
            '120': Knewave
            '121': Knewave Outline
            '122': Kreon
            '123': Kristi
            '124': Kumar One
            '125': Kumar One Outline
            '126': Kurale
            '127': La Belle Aurore
            '128': Lalezar
            '129': Lato
            '130': Lauren
            '131': League Script
            '132': Lemon Tuesday
            '133': Libre Baskerville
            '134': Limelight
            '135': Londrina Shadow
            '136': Londrina Sketch
            '137': Loved By The King
            '138': Lovers Quarrel
            '139': Marcellus Sc
            '140': Marck Script
            '141': Mate
            '142': Maven Pro
            '143': Meddon
            '144': Medula One
            '145': Merienda One
            '146': Merriweather
            '147': Mikodacs
            '148': Miriam Libre
            '149': Monda
            '150': Monofett
            '151': Monsieur La Doulaise
            '152': Montserrat
            '153': Montserrat Alternates
            '154': Mr Dafoe
            '155': Mr De Haviland
            '156': Mrs Saint Delafield
            '157': Mrs Sheppards
            '158': Neucha
            '159': Nixie One
            '160': Nothing You Could Do
            '161': Noticia Text
            '162': Nova Square
            '163': Nunito
            '164': Offside
            '165': Okolaks
            '166': Old Standard Tt
            '167': Oleo Script
            '168': Open Sans
            '169': Open Sans Condensed
            '170': Oranienbaum
            '171': Orbitron
            '172': Oswald
            '173': Overlock
            '174': Oxygen
            '175': Pacifico
            '176': Pangolin
            '177': Parisienne
            '178': Pathway Gothic One
            '179': Patrick Hand
            '180': Pattaya
            '181': Patua One
            '182': Permanent Marker
            '183': Petit Formal Script
            '184': Philosopher
            '185': Pinyon Script
            '186': Pirou
            '187': Play
            '188': Playball
            '189': Playfair Display
            '190': Playlist Caps
            '191': Playlist Script
            '192': Podkova
            '193': Poiret One
            '194': Pompiere
            '195': Port Lligat Slab
            '196': Press Start 2P
            '197': Prompt
            '198': Pt Sans
            '199': Quattrocento
            '200': Quicksand
            '201': Racing Sans One
            '202': Radley
            '203': Rakkas
            '204': Raleway
            '205': Raleway Dots
            '206': Rammetto One
            '207': Rationale
            '208': Reem Kufi
            '209': Reenie Beanie
            '210': Righteous
            '211': Rise
            '212': Rissa Typeface
            '213': Roboto
            '214': Rochester
            '215': Rock Salt
            '216': Rokkitt
            '217': Rosario
            '218': Rubik
            '219': Rubik One
            '220': Ruslan Display
            '221': Russo One
            '222': Rye
            '223': Sacramento
            '224': Sansita One
            '225': Satisfy
            '226': Scope One
            '227': Secular One
            '228': Selima Script
            '229': Sensei
            '230': Seymour One
            '231': Shadows Into Light Two
            '232': Share Tech Mono
            '233': Sirin Stencil
            '234': Six Caps
            '235': Source Serif Pro
            '236': Space Mono
            '237': Stalemate
            '238': Stint Ultra Expanded
            '239': Sue Ellen Francisco
            '240': Suez One
            '241': Sunday
            '242': Superclarendon Regular
            '243': Text Me One
            '244': Tinos
            '245': Titillium Web
            '246': Tulpen One
            '247': Underdog
            '248': V T323
            '249': Vampiro One
            '250': Varela Round
            '251': Vast Shadow
            '252': Vollkorn
            '253': Waiting For The Sunrise
            '254': Wire One
            '255': Yanone Kaffeesatz
            '256': Yellowtail
            '257': Yeseva One
            '258': Yesteryear
            '259': Zeyada
            '260': Znikomit
            '261': Znikomitno24
    - name: font_size
      sequence: float32
    - name: text_align
      sequence:
        class_label:
          names:
            '0': ''
            '1': center
            '2': left
            '3': right
    - name: angle
      sequence: float32
    - name: capitalize
      sequence:
        class_label:
          names:
            '0': 'false'
            '1': 'true'
    - name: line_height
      sequence: float32
    - name: letter_spacing
      sequence: float32
    - name: color
      sequence:
        sequence: float32
        length: 3
    - name: image
      sequence: image
  splits:
    - name: train
      num_bytes: 3259312504.503
      num_examples: 18659
    - name: test
      num_bytes: 413774119.686
      num_examples: 2371
    - name: validation
      num_bytes: 418393287.999
      num_examples: 2391
  download_size: 4054319749
  dataset_size: 4091479912.1879997

Dataset Card for Crello

Table of Contents

Dataset Description

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 (now create.vista.com) and converted to low-resolution format suitable for machine learning analysis.

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.

{'id': '59528b4e95a7a863ddcdf902',
 'length': 14,
 'group': 5,
 'format': 49,
 'canvas_width': 11,
 'canvas_height': 34,
 'category': 14,
 'type': [1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4],
 'left': [0.0002478847454767674,
  0.0,
  0.0,
  0.03125,
  0.05624999850988388,
  0.30000001192092896,
  0.16875000298023224,
  0.18125000596046448,
  0.5625,
  0.3375000059604645,
  0.25623849034309387,
  0.41874998807907104,
  0.19995903968811035,
  0.36250001192092896],
 'top': [0.00042101924191229045,
  0.0,
  -0.0016666667070239782,
  0.008333333767950535,
  0.014999999664723873,
  0.5633333325386047,
  0.4816666543483734,
  0.4116666615009308,
  0.3883333206176758,
  0.3883333206176758,
  0.512499988079071,
  0.4833333194255829,
  0.4350000023841858,
  0.3933333456516266],
 'width': [0.9999237656593323,
  0.9937499761581421,
  1.0,
  0.9375,
  0.8812500238418579,
  0.4000000059604645,
  0.65625,
  0.637499988079071,
  0.09375,
  0.10000000149011612,
  0.6084214448928833,
  0.29374998807907104,
  0.7160975337028503,
  0.28125],
 'height': [1.0023325681686401,
  0.9983333349227905,
  1.0,
  0.9833333492279053,
  0.9683333039283752,
  0.0416666679084301,
  0.04333333298563957,
  0.029999999329447746,
  0.029999999329447746,
  0.029999999329447746,
  0.05166666582226753,
  0.021666666492819786,
  0.05166666582226753,
  0.018333332613110542],
 'opacity': [1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0],
 'text': ['',
  '',
  '',
  '',
  '',
  '',
  '',
  '',
  '',
  '',
  'Nature',
  'with',
  'friends',
  'Make'],
 'font': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31, 182, 31, 31],
 'font_size': [0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  31.71994972229004,
  13.0,
  31.644691467285156,
  11.0],
 'text_align': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 1],
 'angle': [0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0],
 'capitalize': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
 'line_height': [1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0,
  1.0],
 'letter_spacing': [0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  0.0,
  2.0,
  0.0,
  2.0,
  1.0],
 'color': [[35.0, 80.0, 60.0],
  [255.0, 255.0, 255.0],
  [35.0, 31.0, 32.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0],
  [255.0, 255.0, 255.0]],
 '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>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>,
  <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=256x256>]}

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

key = "font"
example = dataset[0]

dataset.features[key].int2str(example[key])

Data Fields

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

Context features (Canvas attributes)

Field Type Shape Description
id string () Template ID from crello.com
group categorical () Broad design group, such as social media posts or blog headers
format categorical () Detailed design format, such as Instagram post or postcard
category categorical () Topic category of the design, such as holiday celebration
canvas_width categorical () Canvas pixel width
canvas_height categorical () Canvas pixel height
length int64 () Length of sequence features

Sequence features (Element attributes)

Field Type Shape Description
type categorical () 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 image () Pre-rendered 256x256 preview of the element encoded in PNG format
text string () Text content in UTF-8 encoding for text element
font categorical () Font family name for text element
font_size float32 () Font size (height) in pixels
text_align categorical () Horizontal text alignment, left, center, right for text element
angle float32 () Element rotation angle (radian) w.r.t. the center of the element
capitalize categorical () Binary flag to capitalize letters
line_height float32 () Scaling parameter to line height, default is 1.0
letter_spacing float32 () Adjustment parameter for letter spacing, default is 0.0

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>

left and top can be negative because elements can be bigger than the canvas size.

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

Visualization

Each example can be visualized in the following approach. Note the following does not guarantee a similar appearance to the original template.

def render(dataset: datasets.Dataset, example: Dict[str, Any], max_size: float=512.) -> bytes:
    """Render parsed sequence example onto an image and return as PNG bytes."""
    canvas_width = int(dataset.features["canvas_width"].int2str(example["canvas_width"]))
    canvas_height = int(dataset.features["canvas_height"].int2str(example["canvas_height"]))

    scale = min(1.0, max_size / canvas_width, max_size / canvas_height)

    surface = skia.Surface(int(scale * canvas_width), int(scale * canvas_height))
    with surface as canvas:
        canvas.scale(scale, scale)
        for index in range(example["length"]):
            pil_image = example["image"][index]
            image = skia.Image.frombytes(
                pil_image.convert("RGBA").tobytes(),
                pil_image.size,
                skia.kRGBA_8888_ColorType)
            left = example["left"][index] * canvas_width
            top = example["top"][index] * canvas_height
            width = example["width"][index] * canvas_width
            height = example["height"][index] * canvas_height
            rect = skia.Rect.MakeXYWH(left, top, width, height)

            angle = example["angle"][index]
            if angle != 0:
                degree = 180. * angle / np.pi
                canvas.save()
                canvas.rotate(degree, left + width / 2., top + height / 2.)

            canvas.drawImageRect(image, rect)
            if angle != 0:
                canvas.restore()

    image = surface.makeImageSnapshot()
    with io.BytesIO() as f:
        image.save(f, skia.kPNG)
        return f.getvalue()

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) 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 (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.

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

3.0: v3 release (Feb 8, 2023)

  • Migrate to Hugging Face Hub.
  • Improve text rendering quality.
  • Change split generation criteria: no compatibility with v2 splits.
  • Incorporate a motion picture thumbnail in templates.
  • Add capitalize, line_height, and letter_spacing sequence attributes.

2.0: v2 release (May 26, 2022)

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

1.0: v1 release (Aug 24, 2021)

Contributions

Thanks to @kyamagu for adding this dataset.