logo-dataset Computer Vision Project

Raveesh Gupta

Updated 3 years ago

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Classes (352)
3m
abus
accenture
adidas
adidas1
adidas_text
airhawk
airness
aldi
aldi_text
alfaromeo
allett
allianz
allianz_text
aluratek
aluratek_text
amazon
amcrest
amcrest_text
americanexpress
americanexpress_text
android
anz
anz_text
apc
apecase
apple
aquapac_text
aral
armani
armitron
aspirin
asus
at_and_t
athalon
audi
audi_text
axa
bacardi
bankofamerica
bankofamerica_text
barbie
barclays
base
basf
batman
bayer
bbc
bbva
becks
bellataylor
bellodigital
bellodigital_text
bem
benrus
bershka
bfgoodrich
bik
bionade
blackmores
blizzardentertainment
bmw
boeing
boeing_text
bosch
bosch_text
bottegaveneta
bridgestone
bridgestone_text
budweiser
budweiser_text
bulgari
burgerking
burgerking_text
calvinklein
canon
carglass
carlsberg
carters
cartier
caterpillar
chanel
chanel_text
cheetos
chevrolet
chevrolet_text
chevron
chickfila
chimay
chiquita
cisco
citi
citroen
citroen_text
coach cocacola coke
colgate
comedycentral
converse
corona
corona_text
costa
costco
cpa_australia
cvs
cvspharmacy
danone
dexia
dhl
disney
doritos
drpepper
dunkindonuts
ebay
ec
erdinger
espn
esso
esso_text
evernote
facebook
fedex
ferrari
firefox
firelli
fly_emirates
ford
fosters
fritolay
fritos
gap
generalelectric
gildan
gillette
goodyear
google
gucci
guinness
hanes
head
head_text
heineken
heineken_text
heraldsun
hermes
hersheys
hh
hisense
hm
homedepot
homedepot_text
honda
honda_text
hp
hsbc
hsbc_text
huawei
huawei_text
hyundai
hyundai_text
ibm
ikea
infiniti
infiniti_text
intel
internetexplorer
jackinthebox
jacobscreek
jagermeister
jcrew
jello
johnnywalker
jurlique
kelloggs
kfc
kia
kitkat
kodak
kraft
lacoste
lacoste_text
lamborghini
lays
lego
levis
lexus
lexus_text
lg
londonunderground
loreal
lotto
luxottica
lv
marlboro
marlboro_fig
marlboro_text
maserati
mastercard
maxwellhouse
maxxis
mccafe
mcdonalds
mcdonalds_text
medibank
mercedesbenz
mercedesbenz_text
michelin
microsoft
milka
millerhighlife
mini
miraclewhip
mitsubishi
mk
mobil
motorola
mtv
nasa
nb
nbc
nescafe
netflix
nike
nike_text
nintendo
nissan
nissan_text
nivea
northface
nvidia
obey
olympics
opel
optus
optus_yes
oracle
pampers
panasonic
paulaner
pepsi
pepsi_text
pepsi_text1
philadelphia
philips
pizzahut
pizzahut_hut
planters
playstation
poloralphlauren
porsche
porsche_text
prada
puma
puma_text
quick
rbc
recycling
redbull
redbull_text
reebok
reebok1
reebok_text
reeses
renault
republican
rittersport
rolex
rolex_text
ruffles
samsung
santander
santander_text
sap
schwinn
scion_text
sega
select
shell
shell_text
shell_text1
siemens
singha
skechers
sony
soundcloud
soundrop
spar
spar_text
spiderman
sprite
standard_liege
starbucks
stellaartois
subaru
subway
sunchips
superman
supreme
suzuki
t-mobile
tacobell
target
target_text
teslamotors
texaco
thomsonreuters
tigerwash
timberland
tissot
tnt
tommyhilfiger
tostitos
total
toyota
toyota_text
tsingtao
twitter
umbro
underarmour
unicef
uniqlo
uniqlo1
unitednations
ups
us_president
vaio
velveeta
venus
verizon
verizon_text
visa
vodafone
volkswagen
volkswagen_text
volvo
walmart
walmart_text
warnerbros
wellsfargo
wellsfargo_text
wii
williamhill
windows
wordpress
xbox
yahoo
yamaha
yonex
yonex_text
youtube
zara
Description

It is derived from open source open logo dataset.

There are a total of 65702 There are 27628 source images

There are an additional 38074 generated images using bounding box augmentations

Augmentations used are brightness [-25 % , 25 %], bounding box rotation[-6 degree, +6 degree], bounding box shear[+- 5 degree vertical, +-5 degree horizontal], bounding box exposure [-15%, 15%].

The images are auto-oriented, static cropped by 8% and resized to 640 x 640.

Small version classes :

('heineken_text','cocacola','pepsi','fedex','starbucks','bmw','dhl','nivea','corona','milka','ferrari','carlsberg','shell','apple','nike')

Large version Classes: 'tissot', 'allianz_text', 'wii', 'bellodigital', 'toyota_text', 'northface', 'pizzahut_hut', 'tnt', 'tommyhilfiger', 'facebook', 'ford', 'tigerwash', 'lego', 'esso_text', 'twitter', 'planters', 'opel', 'cartier', 'asus', 'americanexpress_text', 'santander_text', 'xbox', 'fritos', 'sega', 'microsoft', 'miraclewhip', 'cisco', 'target', 'nescafe', 'kitkat', 'amcrest', 'disney', 'android', 'reeses', 'superman', 'us_president', 'stellaartois', 'pampers', 'anz', 'gap', 'aquapac_text', 'hsbc_text', 'pepsi_text', 'apecase', 'head_text', 'sap', 'cocacola', 'infiniti_text', 'nivea', 'maxwellhouse', 'puma', 'sony', 'cvs', 'republican', 'heraldsun', 'playstation', 'firelli', 'danone', 'nissan_text', 'maserati', 'mobil', 'chevrolet', 'volkswagen', 'nbc', 'optus_yes', 'yahoo', 'milka', 'ibm', 'carlsberg', 'corona', 'gillette', 'coke', 'texaco', 'michelin', 'americanexpress', 'volkswagen_text', 'apc', 'comedycentral', 'doritos', 'wordpress', 'basf', 'jcrew', 'subaru', 'vaio', 'bik', 'adidas_text', 'jackinthebox', 'nb', 'kia', 'citroen_text', 'timberland', 'huawei_text', 'toyota', 'bankofamerica_text', 'thomsonreuters', 'adidas1', 'burgerking', 'amazon', 'burgerking_text', 'olympics', 'carters', 'lays', 'honda_text', 'internetexplorer', 'bershka', 'hyundai', 'goodyear', 'becks', 'athalon', 'espn', 'vodafone', 'ferrari', 'citi', 'bacardi', 'motorola', 'citroen', 'rolex', 'drpepper', 'tostitos', 'chanel_text', 'corona_text', 'base', 'costco', 'aldi_text', 'ebay', 'williamhill', 'allianz', 'kodak', 't-mobile', 'lotto', 'head', 'fedex', 'fritolay', 'jello', 'netflix', 'bfgoodrich', 'mcdonalds', 'optus', 'yonex_text', 'google', 'mastercard', 'hanes', 'budweiser', 'mini', 'carglass', 'nike', 'paulaner', 'bankofamerica', 'amcrest_text', 'philips', 'at_and_t', 'soundrop', 'mercedesbenz_text', 'hsbc', 'lg', 'wellsfargo_text', 'sunchips', 'umbro', 'warnerbros', 'armani', 'bem', 'reebok', 'puma_text', 'lacoste_text', 'uniqlo1', 'teslamotors', 'hersheys', 'verizon_text', 'mk', 'santander', 'lacoste', 'rbc', 'bulgari', 'bridgestone', 'visa', 'chevrolet_text', 'skechers', 'bmw', 'anz_text', 'pepsi', 'hh', 'shell', 'dhl', 'siemens', 'suzuki', 'aral', 'apple', 'blizzardentertainment', 'gildan', 'levis', 'walmart_text', 'panasonic', 'fosters', 'volvo', 'standard_liege', 'tsingtao', 'evernote', 'armitron', 'huawei', 'bayer', 'nasa', 'venus', 'homedepot', 'budweiser_text', 'esso', 'mtv', 'bellodigital_text', 'intel', 'lamborghini', 'luxottica', 'unitednations', 'porsche', 'honda', 'schwinn', 'calvinklein', 'supreme', 'batman', 'chevron', 'chimay', 'hp', 'homedepot_text', 'converse', 'bottegaveneta', 'ruffles', 'blackmores', 'abus', 'dunkindonuts', 'reebok_text', 'yonex', 'aldi', 'nintendo', 'nvidia', 'adidas', 'bosch', 'caterpillar', 'singha', 'kraft', 'reebok1', 'youtube', 'bionade', 'dexia', 'mccafe', 'aluratek', 'hm', 'samsung', 'recycling', 'millerhighlife', 'oracle', 'firefox', 'alfaromeo', 'rolex_text', 'barbie', 'maxxis', 'verizon', 'audi_text', 'nike_text', 'airness', 'select', 'total', 'poloralphlauren', 'starbucks', 'subway', 'axa', 'mcdonalds_text', 'johnnywalker', 'infiniti', 'lv', 'medibank', 'redbull', 'gucci', 'hermes', 'cheetos', 'chanel', 'jagermeister', 'ups', 'walmart', 'obey', 'cvspharmacy', 'heineken_text', 'heineken', 'uniqlo', 'generalelectric', 'marlboro_fig', 'soundcloud', 'pepsi_text1', 'benrus', 'prada', 'bellataylor', 'mercedesbenz', 'loreal', 'spar', 'porsche_text', 'londonunderground', 'wellsfargo', 'erdinger', 'spiderman', 'coach', 'canon', 'marlboro_text', 'kfc', '3m', 'ec', 'underarmour', 'costa', 'hyundai_text', 'nissan', 'shell_text', 'shell_text1', 'unicef', 'cpa_australia', 'tacobell', 'lexus_text', 'bridgestone_text', 'marlboro', 'audi', 'scion_text', 'boeing', 'renault', 'airhawk', 'lexus', 'colgate', 'jacobscreek', 'barclays', 'windows', 'quick', 'ikea', 'kelloggs', 'hisense', 'accenture', 'mitsubishi', 'fly_emirates', 'sprite', 'redbull_text', 'target_text', 'pizzahut', 'guinness', 'chiquita', 'spar_text', 'boeing_text', 'aluratek_text', 'philadelphia', 'zara', 'bosch_text', 'velveeta', 'aspirin', 'bbva', 'allett', 'bbc', 'rittersport', 'chickfila', 'jurlique', 'yamaha'

The dataset is derived from https://qmul-openlogo.github.io/

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Cite This Project

LICENSE
Public Domain

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            logo-dataset-3itmd_dataset,
                            title = { logo-dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Raveesh Gupta },
                            howpublished = { \url{ https://universe.roboflow.com/raveesh-gupta/logo-dataset-3itmd } },
                            url = { https://universe.roboflow.com/raveesh-gupta/logo-dataset-3itmd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { aug },
                            note = { visited on 2024-09-21 },
                            }
                        
                    

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