Datasets:
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img_name
stringlengths 8
11
| caption
stringlengths 10
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| annotations
listlengths 1
27
⌀ | image
imagewidth (px) 512
512
| image_width
int64 512
512
| image_height
int64 512
512
|
|---|---|---|---|---|---|
gt_1726.jpg
|
a building with a blue sign on top
|
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"pos": 4,
"text": "燎申集团",
"valid": true
}
] | 512 | 512 |
|
gt_3310.jpg
|
a sign on a building that says chinese
|
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"pos": 0,
"text": "员会",
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"pos": 1,
"text": "科普活动站",
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"pos": 3,
"text": "保护",
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"pos": 4,
"text": "大团镇三墩居委",
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253,
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],
"pos": 4,
"text": "党建服务站",
"valid": true
}
] | 512 | 512 |
|
gt_1234.jpg
|
a building with a sign that says shangri - la
|
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"pos": 3,
"text": "龙虾厅",
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"pos": 4,
"text": "华夏良子",
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"pos": 4,
"text": "中国足道·SPA养生",
"valid": true
}
] | 512 | 512 |
|
gt_3217.jpg
|
a chinese restaurant with a sign has texts
|
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"pos": 3,
"text": "小军打印店",
"valid": true
}
] | 512 | 512 |
|
gt_1531.jpg
|
an old advertisement for dunham's coconut
|
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"pos": 1,
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"pos": 1,
"text": "CONCENTRATED",
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],
"pos": 4,
"text": "COCOANUT",
"valid": true
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] | 512 | 512 |
|
gt_5571.jpg
|
virgin bodycare china
|
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{
"illegibility": false,
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"pos": 4,
"text": "碧根康宝",
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"pos": 4,
"text": "碧根健康文化中心",
"valid": true
}
] | 512 | 512 |
|
gt_4729.jpg
|
a red fire truck with the words monterey fire department on it
|
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"pos": 4,
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"pos": 4,
"text": "FIRE",
"valid": true
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] | 512 | 512 |
|
gt_3822.jpg
|
china hongsheng group company
|
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"pos": 4,
"text": "连汇达环境清洁有限公司",
"valid": true
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"illegibility": false,
"language": "Chinese",
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"pos": 4,
"text": "新建东街压缩站",
"valid": true
}
] | 512 | 512 |
|
gt_3992.jpg
|
a sign for cannery row sardine co
|
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"pos": 4,
"text": "SARDINE",
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"pos": 4,
"text": "CANNERY",
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"pos": 4,
"text": "ROW",
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"text": "MONTEREY",
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"pos": 5,
"text": "California",
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"pos": 4,
"text": "CO",
"valid": true
}
] | 512 | 512 |
|
gt_4995.jpg
|
a restaurant sign with a large sign that says willon's restaurant
|
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"pos": 4,
"text": "WILTONS",
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],
"pos": 4,
"text": "RESTAURANT",
"valid": true
}
] | 512 | 512 |
|
gt_5068.jpg
|
golden metal signs with chinese writing on them
|
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"pos": 1,
"text": "上海市科学技术委员会",
"valid": true
},
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"illegibility": false,
"language": "Chinese",
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"pos": 4,
"text": "上海安诺其集团股份有限公司",
"valid": true
},
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"illegibility": false,
"language": "Chinese",
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"pos": 4,
"text": "工会委员会",
"valid": true
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"language": "Chinese",
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"pos": 7,
"text": "青浦区职工体育",
"valid": true
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"illegibility": false,
"language": "Chinese",
"polygon": [
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],
"pos": 7,
"text": "示范单位",
"valid": true
}
] | 512 | 512 |
|
gt_1871.jpg
|
people walking down a street with a clock on the wall
|
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"pos": 4,
"text": "SMART",
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"pos": 1,
"text": "LUNA",
"valid": true
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"pos": 4,
"text": "CAFE",
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"pos": 4,
"text": "MOUTH",
"valid": true
}
] | 512 | 512 |
|
gt_4651.jpg
|
a sign on a brick wall with chinese writing
|
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"pos": 4,
"text": "中共达州市委组织部驻北京",
"valid": true
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"illegibility": false,
"language": "Chinese",
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"pos": 7,
"text": "四川省达州市人民政府",
"valid": true
},
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"language": "Chinese",
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],
"pos": 4,
"text": "流动党员服务站",
"valid": true
}
] | 512 | 512 |
|
gt_3300.jpg
|
women's march on washington, dc, march 8, 2017
|
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"pos": 4,
"text": "Defend",
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"pos": 4,
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"pos": 1,
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"pos": 3,
"text": "We",
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"pos": 4,
"text": "Won't",
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"pos": 4,
"text": "Go",
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"text": "Back",
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"pos": 4,
"text": "Will",
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"pos": 4,
"text": "Fight",
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"pos": 4,
"text": "DefendWomensRights.org",
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"pos": 5,
"text": "O.F",
"valid": true
}
] | 512 | 512 |
|
gt_61.jpg
|
a large american field banner hangs on a brick wall
|
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|
gt_1945.jpg
|
a badge with the logo of motobecane
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gt_4909.jpg
|
a sign on the side of a building with chinese writing
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gt_2283.jpg
|
a tall building with a sign that says mcx
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gt_1342.jpg
|
a sign that says super market maria santa
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gt_4387.jpg
|
a sign that says chinese red cross on the side of a building
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|
gt_822.jpg
|
a store window with bags of rice and other items
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|
gt_5101.jpg
|
a group of people standing outside a store with a sign
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gt_3333.jpg
|
a sign that says hotel post
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gt_4074.jpg
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jazz-w coffee shop - ponto
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|
gt_2658.jpg
|
a sign for a barber shop that says marv's barber shop
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gt_903.jpg
|
butter brothers bakery and cafe
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gt_462.jpg
|
a large movie theater with a sign on the side
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gt_1509.jpg
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a gold ring with writing on it
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gt_663.jpg
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a brick oven with a sign that says market downtown
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gt_5153.jpg
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a box of cookies is on display in a store
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gt_2852.jpg
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a black and white photo of a plaque with the words texas on it
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gt_4496.jpg
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two metal signs on the side of a building
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mastermind photo - skull and crossbones
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gt_1681.jpg
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a sign on a wall has texts
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gt_4772.jpg
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china factory for high quality plastic sign
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gt_3329.jpg
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bmw to invest €1bn in its car plant in germany
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gt_4187.jpg
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austria auschwitz-Birkenau
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central china data processing center
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gt_3782.jpg
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pioneer chain link fence co sign
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gt_2246.jpg
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a sign on the side of a building that says chinese
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gt_963.jpg
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person, person, person, person, and person at an event for the krewe of krewe of krewe of krewe of k
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gt_1338.jpg
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gt_3321.jpg
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100 % herbal activities indian herbal activites
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gt_2580.jpg
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a sign for a flea market that says stans
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gt_3340.jpg
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a sign for burgerville restaurant on a cloudy day
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gt_2209.jpg
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industrial bank of china
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gt_5366.jpg
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a sign that says village of greentree
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gt_3775.jpg
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a sign for a restaurant in chinese on the side of a building
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gt_1994.jpg
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a building with chinese writing on the side
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gt_30.jpg
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a chinese restaurant with a sign has texts
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gt_3692.jpg
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a sign for a building with chinese writing on it
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gt_567.jpg
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three men posing for a picture on a mountain
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gt_661.jpg
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a store window with clothing on display
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gt_1154.jpg
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gt_1698.jpg
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gt_3603.jpg
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gt_1104.jpg
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gt_2494.jpg
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gt_3847.jpg
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gt_5093.jpg
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a sign for a temporary tattoo parlor in a building
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gt_4488.jpg
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baked fresh today sign
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gt_226.jpg
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gt_998.jpg
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pendergrass flea market
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gt_4122.jpg
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china owa factory
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gt_3745.jpg
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kapil kiset han, kolkata
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gt_304.jpg
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a sign for a beer pub on a building
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gt_5518.jpg
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a chinese restaurant with a sign has texts
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gt_4424.jpg
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gt_5369.jpg
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samuel adams imperial white 750ml
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gt_1264.jpg
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a wine barrel and two glasses of wine on a table
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gt_4427.jpg
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embroidered logo psd mockup
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gt_3002.jpg
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gt_2562.jpg
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a car is parked in front of a building with chinese writing on it
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gt_4049.jpg
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china international trade center
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gt_1599.jpg
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a sign advertising korean charcoal bbq in a store
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|
gt_5306.jpg
|
a building with colorful flags and chinese writing on it
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|
gt_1116.jpg
|
an escalator with a sign that says welcome to easy and fun learning zone
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|
gt_2279.jpg
|
grand canyon regulations sign
| null | 512 | 512 |
|
gt_1085.jpg
|
a white suv parked in front of a restaurant
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|
gt_2.jpg
|
a building with a sign that says happy bbq
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|
gt_484.jpg
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shanghai xinmin v elevator components co, ltd
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gt_1417.jpg
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the sign for fishermans wharf is on top of a building
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gt_5423.jpg
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mary shelley - author of frankenstein
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gt_3145.jpg
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a building with a sign that says chinese union
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gt_3970.jpg
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beaver tails pub & restaurant
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gt_1735.jpg
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a display of old books on display in a store
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gt_255.jpg
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frankford fire department helmet
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gt_4194.jpg
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222
],
[
183,
233
],
[
124,
258
]
],
"pos": 4,
"text": "宝安社区老年门球场",
"valid": true
}
] | 512 | 512 |
|
gt_96.jpg
|
a large sign with the word hotel on it
|
[
{
"illegibility": false,
"language": "Chinese",
"polygon": [
[
59,
218
],
[
181,
188
],
[
309,
175
],
[
442,
181
],
[
439,
210
],
[
301,
207
],
[
173,
221
],
[
53,
254
]
],
"pos": 4,
"text": "广州普兰内特概念酒店",
"valid": true
},
{
"illegibility": false,
"language": "Latin",
"polygon": [
[
42,
382
],
[
125,
382
],
[
98,
434
],
[
42,
437
]
],
"pos": 6,
"text": "ET",
"valid": true
},
{
"illegibility": false,
"language": "Latin",
"polygon": [
[
200,
373
],
[
467,
363
],
[
469,
419
],
[
184,
431
]
],
"pos": 7,
"text": "HOTEL",
"valid": true
},
{
"illegibility": false,
"language": "Chinese",
"polygon": [
[
42,
434
],
[
455,
420
],
[
459,
452
],
[
43,
463
]
],
"pos": 7,
"text": "国进出口商品交易会的中外",
"valid": true
}
] | 512 | 512 |
|
gt_4565.jpg
|
an old book with a portrait of a woman
|
[
{
"illegibility": false,
"language": "Latin",
"polygon": [
[
284,
23
],
[
317,
30
],
[
342,
41
],
[
372,
61
],
[
367,
73
],
[
338,
52
],
[
314,
43
],
[
283,
36
]
],
"pos": 1,
"text": "ZINGARA",
"valid": true
},
{
"illegibility": false,
"language": "Latin",
"polygon": [
[
228,
389
],
[
304,
390
],
[
299,
419
],
[
230,
415
]
],
"pos": 7,
"text": "tspungly",
"valid": true
},
{
"illegibility": false,
"language": "Latin",
"polygon": [
[
303,
407
],
[
371,
408
],
[
371,
439
],
[
304,
437
]
],
"pos": 7,
"text": "Chillon",
"valid": true
}
] | 512 | 512 |
|
gt_3522.jpg
|
the blackboard in the classroom has a picture of people on it
|
[
{
"illegibility": false,
"language": "Latin",
"polygon": [
[
247,
55
],
[
258,
53
],
[
269,
56
],
[
279,
61
],
[
291,
69
],
[
290,
100
],
[
277,
96
],
[
269,
83
],
[
258,
82
],
[
248,
88
]
],
"pos": 1,
"text": "PORK",
"valid": true
}
] | 512 | 512 |
|
gt_1356.jpg
|
a sign on a wall with chinese characters and english writing
|
[
{
"illegibility": false,
"language": "Chinese",
"polygon": [
[
330,
271
],
[
511,
269
],
[
512,
296
],
[
329,
301
]
],
"pos": 5,
"text": "上海市长宁区建筑业协会",
"valid": true
},
{
"illegibility": false,
"language": "Chinese",
"polygon": [
[
102,
267
],
[
143,
239
],
[
192,
224
],
[
246,
230
],
[
277,
248
],
[
306,
273
],
[
296,
285
],
[
259,
260
],
[
229,
248
],
[
192,
244
],
[
153,
258
],
[
113,
287
]
],
"pos": 4,
"text": "上海市建设工程交易管理中心",
"valid": true
}
] | 512 | 512 |
End of preview. Expand
in Data Studio
Dataset from AnyText: Multilingual Visual Text Generation And Editing.
Dataset description from Anytext Team:
Currently, there is a relative scarcity of public datasets for text generation tasks, especially those involving non-Latin script languages. To address this, we introduce a large-scale multilingual dataset called AnyWord-3M. The images in this dataset are sourced from Noah-Wukong, LAION-400M, and OCR recognition datasets such as ArT, COCO-Text, RCTW, LSVT, MLT, MTWI, ReCTS, etc. These images cover a variety of scenes containing text, including street views, book covers, advertisements, posters, and movie frames. Apart from OCR datasets that directly utilize annotated information, all other images are processed using the detection and recognition models of PP-OCR. Subsequently, text descriptions are generated using BLIP-2. After rigorous filtering rules and meticulous post-processing, we have obtained a total of 3,034,486 images, containing over 9 million lines of text and more than 20 million characters or Latin script characters. Additionally, we randomly selected 1,000 images from the Wukong and LAION subsets to create the evaluation set AnyText-benchmark, specifically for assessing the accuracy and quality of Chinese and English text generation. The remaining images serve as the training set AnyWord-3M, which includes approximately 1.6 million Chinese images, 1.39 million English images, and 10,000 images in other languages, including Japanese, Korean, Arabic, Bengali, and Hindi. For detailed statistical analysis and randomly selected example images, please refer to our paper AnyText. (Note: The dataset released in this instance is version V1.1)
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