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metadata
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license: cdla-permissive-2.0
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - unconditional-image-generation
task_ids: []
pretty_name: crello
tags:
  - graphic design
  - design templates
dataset_info:
  features:
    - name: id
      dtype: string
    - name: length
      dtype: int64
    - name: group
      dtype:
        class_label:
          names:
            '0': SM
            '1': HC
            '2': MM
            '3': SMA
            '4': EO
            '5': BG
    - name: format
      dtype:
        class_label:
          names:
            '0': Instagram Story
            '1': Instagram
            '2': Facebook
            '3': Facebook cover
            '4': Twitter
            '5': Facebook AD
            '6': Poster
            '7': Instagram AD
            '8': Tumblr
            '9': Image
            '10': Pinterest
            '11': Flayer
            '12': FB event cover
            '13': Postcard
            '14': Invitation
            '15': Youtube
            '16': Email header
            '17': Medium Rectangle
            '18': Poster US
            '19': Graphic
            '20': Large Rectangle
            '21': Card
            '22': Logo
            '23': Title
            '24': Skyscraper
            '25': Leaderboard
            '26': Presentation
            '27': Gift Certificate
            '28': VK Universal Post
            '29': Youtube Thumbnail
            '30': Business card
            '31': Book Cover
            '32': Presentation Wide
            '33': VK Community Cover
            '34': Certificate
            '35': Zoom Background
            '36': VK Post with Button
            '37': T-Shirt
            '38': Instagram Highlight Cover
            '39': Coupon
            '40': Letterhead
            '41': IGTV Cover
            '42': Schedule Planner
            '43': Album Cover
            '44': LinkedIn Cover
            '45': Storyboard
            '46': Recipe Card
            '47': Invoice
            '48': Resume
            '49': Menu
            '50': Mood Board
            '51': Mind Map
            '52': Label
            '53': Newsletter
            '54': Brochure
            '55': Ticket
            '56': Proposal
            '57': Snapchat Geofilter
            '58': Snapchat Moment Filter
            '59': Twitch Offline Banner
            '60': Twitch Profile Banner
            '61': Infographic
            '62': Mobile Presentation
            '63': Photo Book
            '64': Web Banner
            '65': Gallery Image
            '66': Calendar
    - name: canvas_width
      dtype:
        class_label:
          names:
            '0': '1080'
            '1': '1200'
            '2': '940'
            '3': '851'
            '4': '360'
            '5': '1190'
            '6': '1920'
            '7': '419'
            '8': '1024'
            '9': '600'
            '10': '1600'
            '11': '735'
            '12': '595'
            '13': '3000'
            '14': '2560'
            '15': '1500'
            '16': '300'
            '17': '540'
            '18': '1296'
            '19': '336'
            '20': '500'
            '21': '432'
            '22': '560'
            '23': '160'
            '24': '1280'
            '25': '728'
            '26': '1000'
            '27': '241'
            '28': '1590'
            '29': '792'
            '30': '576'
            '31': '537'
            '32': '1008'
            '33': '420'
            '34': '1128'
            '35': '396'
            '36': '841'
            '37': '800'
            '38': '635'
            '39': '240'
            '40': '842'
    - name: canvas_height
      dtype:
        class_label:
          names:
            '0': '1080'
            '1': '1920'
            '2': '315'
            '3': '788'
            '4': '628'
            '5': '600'
            '6': '504'
            '7': '1683'
            '8': '298'
            '9': '500'
            '10': '512'
            '11': '1102'
            '12': '1440'
            '13': '200'
            '14': '400'
            '15': '250'
            '16': '810'
            '17': '1728'
            '18': '1200'
            '19': '280'
            '20': '841'
            '21': '288'
            '22': '90'
            '23': '1055'
            '24': '720'
            '25': '768'
            '26': '700'
            '27': '142'
            '28': '612'
            '29': '2560'
            '30': '2000'
            '31': '240'
            '32': '216'
            '33': '842'
            '34': '1296'
            '35': '2340'
            '36': '654'
            '37': '191'
            '38': '1600'
            '39': '297'
            '40': '595'
            '41': '480'
            '42': '576'
            '43': '320'
            '44': '380'
            '45': '141'
    - name: category
      dtype:
        class_label:
          names:
            '0': holidaysCelebration
            '1': foodDrinks
            '2': fashionStyle
            '3': businessFinance
            '4': homeStuff
            '5': handcraftArt
            '6': beauty
            '7': leisureEntertainment
            '8': natureWildlife
            '9': educationScience
            '10': technology
            '11': medical
            '12': socialActivityCharity
            '13': realEstateBuilding
            '14': sportExtreme
            '15': travelsVacations
            '16': pets
            '17': religions
            '18': citiesPlaces
            '19': industry
            '20': transportation
            '21': kidsParents
            '22': all
    - name: title
      dtype: string
    - name: type
      sequence:
        class_label:
          names:
            '0': svgElement
            '1': textElement
            '2': imageElement
            '3': coloredBackground
            '4': maskElement
    - name: left
      sequence: float32
    - name: top
      sequence: float32
    - name: width
      sequence: float32
    - name: height
      sequence: float32
    - name: opacity
      sequence: float32
    - name: color
      sequence:
        sequence: float32
        length: 3
    - name: image
      sequence: image
    - name: text
      sequence: string
    - name: font
      sequence:
        class_label:
          names:
            '0': ''
            '1': Montserrat
            '2': Bebas Neue
            '3': Raleway
            '4': Josefin Sans
            '5': Cantarell
            '6': Playfair Display
            '7': Oswald
            '8': Blogger
            '9': Abril Fatface
            '10': Prompt
            '11': Comfortaa
            '12': Rubik
            '13': Open Sans
            '14': Roboto
            '15': Libre Baskerville
            '16': Quicksand
            '17': Dosis
            '18': Podkova
            '19': Lato
            '20': Cormorant Infant
            '21': Amatic Sc
            '22': Fjalla One
            '23': Playlist Script
            '24': Arapey
            '25': Baloo Tamma
            '26': Graduate
            '27': Titillium Web
            '28': Kreon
            '29': Nunito
            '30': Rammetto One
            '31': Anton
            '32': Poiret One
            '33': Alfa Slab One
            '34': Righteous
            '35': Play
            '36': Space Mono
            '37': Frank Ruhl Libre
            '38': Yanone Kaffeesatz
            '39': Pacifico
            '40': Bangers
            '41': Yellowtail
            '42': Droid Serif
            '43': Racing Sans One
            '44': Merriweather
            '45': Miriam Libre
            '46': Crete Round
            '47': Rubik One
            '48': Bungee
            '49': Sansita One
            '50': Patua One
            '51': Economica
            '52': Caveat
            '53': Philosopher
            '54': Limelight
            '55': Breathe
            '56': Rokkitt
            '57': Russo One
            '58': Noticia Text
            '59': Tinos
            '60': Oleo Script
            '61': Josefin Slab
            '62': Arima Madurai
            '63': Brusher Free Font
            '64': Old Standard Tt
            '65': Kalam
            '66': Patrick Hand
            '67': Playball
            '68': Six Caps
            '69': Bad Script
            '70': Orbitron
            '71': Contrail One
            '72': Selima Script
            '73': Gravitas One
            '74': El Messiri
            '75': Bubbler One
            '76': Italiana
            '77': Pompiere
            '78': Lemon Tuesday
            '79': Vast Shadow
            '80': Sunday
            '81': Cookie
            '82': Exo 2
            '83': Barrio
            '84': Radley
            '85': Mrs Sheppards
            '86': Grand Hotel
            '87': Great Vibes
            '88': Maven Pro
            '89': Knewave
            '90': Damion
            '91': Tulpen One
            '92': Parisienne
            '93': Superclarendon Regular
            '94': Oxygen
            '95': Nixie One
            '96': Permanent Marker
            '97': Medula One
            '98': Cabin Sketch
            '99': Vollkorn
            '100': Yeseva One
            '101': Montserrat Alternates
            '102': Satisfy
            '103': Sacramento
            '104': Carter One
            '105': Glass Antiqua
            '106': Mr Dafoe
            '107': Lauren
            '108': Oranienbaum
            '109': Scope One
            '110': Mr De Haviland
            '111': Pirou
            '112': Rise
            '113': Sensei
            '114': Yesteryear
            '115': Delius
            '116': Sue Ellen Francisco
            '117': Copse
            '118': Kaushan Script
            '119': Monda
            '120': Pattaya
            '121': Dancing Script
            '122': Reem Kufi
            '123': Playlist Caps
            '124': Beacon
            '125': Reenie Beanie
            '126': Overlock
            '127': Mrs Saint Delafield
            '128': Open Sans Condensed
            '129': Covered By Your Grace
            '130': Varela Round
            '131': Allura
            '132': Buda
            '133': Mikodacs
            '134': Arkana Script
            '135': Nothing You Could Do
            '136': Rochester
            '137': Fredericka The Great
            '138': Port Lligat Slab
            '139': Heebo
            '140': Arimo
            '141': Dawning Of A New Day
            '142': Aldrich
            '143': Neucha
            '144': Source Serif Pro
            '145': Shadows Into Light Two
            '146': Armata
            '147': Cutive Mono
            '148': Merienda One
            '149': Rissa Typeface
            '150': Stalemate
            '151': Assistant
            '152': Pathway Gothic One
            '153': Breathe Press
            '154': Suez One
            '155': Berkshire Swash
            '156': Rakkas
            '157': Pinyon Script
            '158': Pt Sans
            '159': Delius Swash Caps
            '160': Kurale
            '161': Offside
            '162': Clicker Script
            '163': Mate
            '164': Bentham
            '165': Rye
            '166': Lalezar
            '167': Julius Sans One
            '168': Quattrocento
            '169': V T323
            '170': Finger Paint
            '171': La Belle Aurore
            '172': Inconsolata
            '173': Press Start 2P
            '174': Junge
            '175': Iceberg
            '176': Kelly Slab
            '177': Handlee
            '178': Rosario
            '179': Gaegu
            '180': Homemade Apple
            '181': Londrina Shadow
            '182': Meddon
            '183': Elsie Swash Caps
            '184': Share Tech Mono
            '185': Black Ops One
            '186': Fauna One
            '187': Alice
            '188': Arizonia
            '189': Text Me One
            '190': Nova Square
            '191': Bungee Shade
            '192': Just Me Again Down Here
            '193': Jacques Francois Shadow
            '194': Cousine
            '195': Forum
            '196': Architects Daughter
            '197': Cedarville Cursive
            '198': Elsie
            '199': Sirin Stencil
            '200': Vampiro One
            '201': Dorsa
            '202': Marcellus Sc
            '203': Kumar One
            '204': Allerta Stencil
            '205': Courgette
            '206': Rationale
            '207': Gluk Znikomitno25
            '208': Happy Monkey
            '209': Stint Ultra Expanded
            '210': Rock Salt
            '211': Im Fell Dw Pica Sc
            '212': Faster One
            '213': Bellefair
            '214': Wire One
            '215': Geo
            '216': Farsan
            '217': League Script
            '218': Chathura
            '219': Euphoria Script
            '220': Zeyada
            '221': Jura
            '222': Loved By The King
            '223': Give You Glory
            '224': Znikomitno24
            '225': Gluk Glametrix
            '226': Alegreya Sans
            '227': Kristi
            '228': Knewave Outline
            '229': Pangolin
            '230': Okolaks
            '231': Seymour One
            '232': Didact Gothic
            '233': Kavivanar
            '234': Underdog
            '235': Alef
            '236': Italianno
            '237': Londrina Sketch
            '238': Secular One
            '239': Katibeh
            '240': Caesar Dressing
            '241': Lovers Quarrel
            '242': Iceland
            '243': Im Fell
            '244': Waiting For The Sunrise
            '245': David Libre
            '246': Marck Script
            '247': Kumar One Outline
            '248': Znikomit
            '249': Monsieur La Doulaise
            '250': Gruppo
            '251': Monofett
            '252': Gfs Didot
            '253': Petit Formal Script
            '254': Dukomdesign Constantine
            '255': Brusher
            '256': Eb Garamond
            '257': Ewert
            '258': Bilbo
            '259': Raleway Dots
            '260': Gabriela
            '261': Ruslan Display
    - name: font_size
      sequence: float32
    - name: text_align
      sequence:
        class_label:
          names:
            '0': ''
            '1': left
            '2': center
            '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: suitability
      sequence:
        class_label:
          names:
            '0': mobile
    - name: keywords
      sequence: string
    - name: industries
      sequence:
        class_label:
          names:
            '0': marketingAds
            '1': entertainmentLeisure
            '2': services
            '3': retail
            '4': businessFinance
            '5': educationTraining
            '6': foodBeverages
            '7': artCrafts
            '8': fashionStyle
            '9': healthWellness
            '10': ecologyNature
            '11': nonProfitCharity
            '12': techGadgets
            '13': beautyCosmetics
            '14': homeLiving
            '15': familyKids
            '16': travelTourism
            '17': sportFitness
            '18': corporate
            '19': petsAnimals
            '20': realEstateConstruction
            '21': transportDelivery
            '22': religionFaith
            '23': hrRecruitment
    - name: preview
      dtype: image
    - name: cluster_index
      dtype: int64
  splits:
    - name: train
      num_bytes: 5058614277.34
      num_examples: 19095
    - name: validation
      num_bytes: 538185754.149
      num_examples: 1951
    - name: test
      num_bytes: 649876234.375
      num_examples: 2375
  download_size: 6188050025
  dataset_size: 6246676265.864
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

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 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")

Old revision is available via revision option.

import datasets

dataset = datasets.load_dataset("cyberagent/crello", revision="3.1")

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': '592d6c2c95a7a863ddcda140',
 'length': 8,
 'group': 4,
 'format': 20,
 'canvas_width': 3,
 'canvas_height': 1,
 'category': 0,
 'title': 'Beauty Blog Ad Woman with Unusual Hairstyle',
 'type': [1, 3, 3, 3, 3, 4, 4, 4],
 'left': [0.0,
  -0.0009259259095415473,
  0.24444444477558136,
  0.5712962746620178,
  0.2657407522201538,
  0.369228333234787,
  0.2739444375038147,
  0.44776931405067444],
 'top': [0.0,
  -0.0009259259095415473,
  0.37037035822868347,
  0.41296297311782837,
  0.41296297311782837,
  0.8946287035942078,
  0.4549448788166046,
  0.40591198205947876],
 'width': [1.0,
  1.0018517971038818,
  0.510185182094574,
  0.16296295821666718,
  0.16296295821666718,
  0.30000001192092896,
  0.4990740716457367,
  0.11388888955116272],
 'height': [1.0,
  1.0018517971038818,
  0.25833332538604736,
  0.004629629664123058,
  0.004629629664123058,
  0.016611294820904732,
  0.12458471953868866,
  0.02657807245850563],
 'opacity': [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0],
 'text': ['', '', '', '', '', 'STAY WITH US', 'FOLLOW', 'PRESS'],
 'font': [0, 0, 0, 0, 0, 152, 172, 152],
 'font_size': [0.0, 0.0, 0.0, 0.0, 0.0, 18.0, 135.0, 30.0],
 'text_align': [0, 0, 0, 0, 0, 2, 2, 2],
 'angle': [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],
 'line_height': [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, 14.0, 12.55813980102539, 3.0],
 'suitability': [0],
 'keywords': ['beautiful',
  'beauty',
  'blog',
  'blogging',
  'caucasian',
  'cute',
  'elegance',
  'elegant',
  'fashion',
  'fashionable',
  'femininity',
  'glamour',
  'hairstyle',
  'luxury',
  'model',
  'stylish',
  'vogue',
  'website',
  'woman',
  'post',
  'instagram',
  'ig',
  'insta',
  'fashion',
  'purple'],
 'industries': [1, 8, 13],
 'color': [[153.0, 118.0, 96.0],
  [34.0, 23.0, 61.0],
  [34.0, 23.0, 61.0],
  [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>]}

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

data = dataset['train'] # obtain the train set
key = "font"
example = data[0] # obtain 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 crello.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 categorical () Canvas pixel width
canvas_height categorical () 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; only for debugging
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 normalized to [0, 1] range w.r.t. canvas_width
top float32 (None,) Element top position normalized to [0, 1] range w.r.t. canvas_height
width float32 (None,) Element width normalized to [0, 1] range w.r.t. canvas_width
height float32 (None,) Element height normalized to [0, 1] range w.r.t. canvas_height
color int64 (None, 3) Extracted main RGB color of the element
opacity float32 (None,) Opacity in [0, 1] range
image image (None,) Pre-rendered 256x256 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 (radian) w.r.t. the center of the element
capitalize categorical (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

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 based on appearance-based clustering.

Split Count
train 19095
validaton 1951
test 2375

Visualization

Each example can be visualized in the following approach using skia-python. Note the following does not guarantee a similar appearance to the original template. Currently, the quality of text rendering is far from perfect.

import io
from typing import Any, Dict

import numpy as np
import skia


def render(features: datasets.Features, example: Dict[str, Any], max_size: float=512.) -> bytes:
    """Render parsed sequence example onto an image and return as PNG bytes."""
    canvas_width = int(features["canvas_width"].int2str(example["canvas_width"]))
    canvas_height = int(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)
            paint = skia.Paint(Alphaf=example["opacity"][index], AntiAlias=True)

            angle = example["angle"][index]
            with skia.AutoCanvasRestore(canvas):
                if angle != 0:
                    degree = 180. * angle / np.pi
                    canvas.rotate(degree, left + width / 2., top + height / 2.)
                canvas.drawImageRect(image, rect, paint=paint)

    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 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

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.