image
imagewidth (px)
1
799
label
stringlengths
1
23
Lube
Spencerian
accommodatingly
CARPENTER
REGURGITATING
savannas
unfix
CAGOULES
TRANSITS
looped
cowmen
SYSTEMICALLY
Offstages
Enquirers
pluck
FURLONG
Toked
Brawl
lancets
awarded
vaxes
CRANIUMS
UNBROKEN
REIT
Jarrod
UNFEIGNED
REGULATE
COLT
snooping
Marquise
SHELF
untasted
overusing
adaption
MENES
SILTIEST
KNURLING
SHOPFITTING
Ideas
outwitted
BIOL
Penmanship
SUSTAINED
HISTORICALLY
BORGLUM
PLAZAS
Contentment
callas
Banyan
randomized
populace
DEPORT
docked
GRASSROOTS
turbaned
Attired
Latches
Leisureliness
quenchless
frontbenches
Graffito
panderer
ENRICHED
CONQUERING
REINSPECTS
stickies
PRIVIEST
FEEDBAGS
DEMONETIZING
Stamina
libretto
Turtledove
Tongued
semitones
DEPRECATION
monopolizes
Temptingly
futon
PROVERB
Gu
floss
Mamacitas
Wisecracking
Fleece
Stupors
centavos
haunch
Realest
Reforests
fainted
Pests
detector
cup
Tojo
schwinn
SERIALIZE
Mckenzie
ANTIABORTION
trustworthy
DOGGED

Dataset Card for "MJSynth_text_recognition"

This is the MJSynth dataset for text recognition on document images, synthetically generated, covering 90K English words. It includes training, validation and test splits. Source of the dataset: https://www.robots.ox.ac.uk/~vgg/data/text/

Use dataset streaming functionality to try out the dataset quickly without downloading the entire dataset (refer: https://huggingface.co/docs/datasets/stream)

Citation details provided on the source website (if you use the data please cite):

@InProceedings{Jaderberg14c, author = "Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman", title = "Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition", booktitle = "Workshop on Deep Learning, NIPS", year = "2014", }

@Article{Jaderberg16, author = "Max Jaderberg and Karen Simonyan and Andrea Vedaldi and Andrew Zisserman", title = "Reading Text in the Wild with Convolutional Neural Networks", journal = "International Journal of Computer Vision", number = "1", volume = "116", pages = "1--20", month = "jan", year = "2016", }

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