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[ [ 9, 22, 0.6877643585205078, 0.008512687495374304, 0.9149422539605034, 0.5082393255759412, 0.92095894 ], [ 9, 22, 0.22574679056803384, 0.1362813964603454, 0.485573493109809, 0.7216311477300689, 0.8920836 ], [ 52, 73, 0.0034435570240020754, 0.0038654708017514445, 0.9989496866861979, 0.9422930619848056, 0.8461898 ], [ 9, 22, 0.44199634128146703, 0.07696494905967412, 0.6802934010823568, 0.6307436124546322, 0.8428514 ], [ 9, 22, 0.0019009245766533746, 0.2246579748439038, 0.1773681428697374, 0.8765691321665846, 0.8178864 ] ]
[ [ 9, 22, 0.6877643585205078, 0.008512687495374304, 0.9149422539605034, 0.5082393255759412, 0.92095894 ], [ 9, 22, 0.22574679056803384, 0.1362813964603454, 0.485573493109809, 0.7216311477300689, 0.8920836 ], [ 52, 73, 0.0034435570240020754, 0.0038654708017514445, 0.9989496866861979, 0.9422930619848056, 0.8461898 ], [ 9, 22, 0.44199634128146703, 0.07696494905967412, 0.6802934010823568, 0.6307436124546322, 0.8428514 ], [ 9, 22, 0.0019009245766533746, 0.2246579748439038, 0.1773681428697374, 0.8765691321665846, 0.8178864 ] ]
"000001504"
0.324463
0.248657
283,468,339,056
"https://photodune.img.customer.envatousercontent.com/files%2F304028707%2FDSCF5971.jpg?w=400&fit=max&mark=https%3A%2F%2Fassets.shopfront.envato-static.com%2Fimages%2Fwatermarks-19012018.png&markalign=top%2Cleft&markpad=0&markfit=crop&fm=pjpg&q=50&s=3f308fc9a89e405d37b20340e183cff1"
"A man with tattooed arm dressed in khaki t shirt and a military cap."
400
600
[ [ 0, 5, 0.01746459926168124, 0.09119389454523723, 0.7819964090983073, 0.9975636800130209, 0.87523705 ], [ 35, 48, 0.04791400829950968, 0.35637524392869735, 0.7788414160410563, 0.9946051703559028, 0.83379877 ], [ 53, 67, 0.30150800943374634, 0.08890249994066027, 0.6748920281728109, 0.23122186130947536, 0.8255246 ], [ 11, 23, 0.33664806683858234, 0.5510916180080838, 0.755611260732015, 0.7822197278340658, 0.8240997 ] ]
[ [ 0, 67, 0.01746459926168124, 0.09119389454523723, 0.7819964090983073, 0.9975636800130209, 0.87523705 ], [ 35, 48, 0.04791400829950968, 0.35637524392869735, 0.7788414160410563, 0.9946051703559028, 0.83379877 ], [ 53, 67, 0.30150800943374634, 0.08890249994066027, 0.6748920281728109, 0.23122186130947536, 0.8255246 ], [ 11, 23, 0.33664806683858234, 0.5510916180080838, 0.755611260732015, 0.7822197278340658, 0.8240997 ] ]
"000005553"
0.289795
0.240601
910,533,495,702
"https://www.gannett-cdn.com/-mm-/69ad597edb1372a834e37cb66b76fde1a4871eba/c=0-34-640-394/local/-/media/2020/11/19/ElDorado/ghows-KS-200929957-c24024a2.jpg?width=640&height=360&fit=crop&format=pjpg&auto=webp"
"El Dorado's gannon White (4) races down the field against Labette County on Friday, Sept. 18. White ran for 110 yards and scored two touchdowns"
640
360
[ [ 0, 24, 0.43861098289489747, 0.03664840592278375, 0.8709175109863281, 0.9963166130913629, 0.7180717 ] ]
[ [ 0, 28, 0.43861098289489747, 0.03664840592278375, 0.8709175109863281, 0.9963166130913629, 0.7180717 ] ]
"000008851"
0.283203
0.205322
4,870,493,024,767
"https://shiawaves.com/english/wp-content/uploads/sites/4/2020/10/photo_2020-10-19_03-54-42-390x220.jpg"
"Photo of Supreme Religious Authority recommends intensifying media and preaching efforts to end the injustice against Shias"
390
220
[ [ 9, 36, 0.009106892805833083, 0.0063714217055927625, 0.990870627378806, 0.9859411759810014, 0.7989881 ], [ 118, 123, 0.0012065312037101159, 0.007817459106445313, 0.20559007693559694, 0.7866054188121449, 0.75183237 ] ]
[ [ 9, 36, 0.009106892805833083, 0.0063714217055927625, 0.990870627378806, 0.9859411759810014, 0.7989881 ], [ 118, 123, 0.0012065312037101159, 0.007817459106445313, 0.20559007693559694, 0.7866054188121449, 0.75183237 ] ]
"000002503"
0.314209
0.252686
5,257,040,316,764
"https://cdn.shopify.com/s/files/1/0069/2158/4711/products/hx-2318s_star_mini_purse_interior_e8f741bf-b808-4f25-8e58-5e19be8e4326_590x.jpeg?v=1616843002"
"small interior view of soft coin purse with zip and star on the front variable colour options"
590
590
[ [ 23, 38, 0.12079345186551411, 0.14466851949691772, 0.8687005043029785, 0.6854196389516195, 0.8066022 ], [ 70, 93, 0.13535006841023764, 0.3437729279200236, 0.7325152556101481, 0.6493216753005981, 0.6756115 ] ]
[ [ 23, 69, 0.12079345186551411, 0.14466851949691772, 0.8687005043029785, 0.6854196389516195, 0.8066022 ], [ 70, 93, 0.13535006841023764, 0.3437729279200236, 0.7325152556101481, 0.6493216753005981, 0.6756115 ] ]
"000009378"
0.308838
0.236084
1,400,160,131,479
"https://cdn.webshopapp.com/shops/291021/files/322563299/2-020-c15and2-250-500115.png"
"Container castor with central brake. The cam connects to the brake rod and offers easy braking and release."
1,280
1,280
[ [ 0, 16, 0.15916602810223898, 0.027652586499849956, 0.8938171863555908, 0.9657567342122396, 0.7136697 ] ]
[ [ 0, 35, 0.15916602810223898, 0.027652586499849956, 0.8938171863555908, 0.9657567342122396, 0.7136697 ] ]
"000002216"
0.356934
0.249634
3,118,146,314,884
"https://static1.iclipart.com/thumbs/553/batch_01/ZLT03138_tnb.png"
"Happy family playing chess at home in a cold winter day, looking at camera, smiling."
350
265
[ [ 0, 12, 0.36591360909598214, 0.1562114067797391, 0.6680255126953125, 0.8395964424565153, 0.9216671 ], [ 0, 12, 0.03622600010463169, 0.24554014385871167, 0.4551395089285714, 0.9120527735296285, 0.88156074 ], [ 0, 12, 0.5683472115652902, 0.278542083164431, 0.8854754638671875, 0.9106683695091391, 0.86686826 ], [ 21, 26, 0.26743687220982143, 0.7948529513377064, 0.6210452270507812, 0.9634848540683962, 0.81754565 ] ]
[ [ 0, 83, 0.36591360909598214, 0.1562114067797391, 0.6680255126953125, 0.8395964424565153, 0.9216671 ], [ 0, 83, 0.03622600010463169, 0.24554014385871167, 0.4551395089285714, 0.9120527735296285, 0.88156074 ], [ 0, 83, 0.5683472115652902, 0.278542083164431, 0.8854754638671875, 0.9106683695091391, 0.86686826 ], [ 21, 26, 0.26743687220982143, 0.7948529513377064, 0.6210452270507812, 0.9634848540683962, 0.81754565 ] ]
"000008855"
0.304688
0.243164
4,105,989,252,555
"https://www.ornatopia.com/wp-content/uploads/2019/06/shutterstock_627726194-300x200.jpg"
"dentist and patient in the clinic"
300
200
[ [ 0, 7, 0.23350229899088543, 0.08126823425292969, 0.6673662312825521, 0.9860538482666016, 0.9062741 ], [ 23, 33, 0.0045749918619791665, 0.0049915313720703125, 0.9979850260416666, 0.9967612457275391, 0.8011047 ], [ 12, 19, 0.4466486104329427, 0.32112281799316406, 0.9132710774739583, 0.9973299407958984, 0.74336183 ] ]
[ [ 0, 7, 0.23350229899088543, 0.08126823425292969, 0.6673662312825521, 0.9860538482666016, 0.9062741 ], [ 23, 33, 0.0045749918619791665, 0.0049915313720703125, 0.9979850260416666, 0.9967612457275391, 0.8011047 ], [ 12, 19, 0.4466486104329427, 0.32112281799316406, 0.9132710774739583, 0.9973299407958984, 0.74336183 ] ]
"000008641"
0.296387
0.241333
2,164,663,536,394
"https://www.gannett-cdn.com/presto/2020/02/27/PNJM/d74922f3-79af-4970-854a-c403b64883e0-20200211_Arri_Berger_and_Patient_001.jpg?width=660&height=472&fit=crop&format=pjpg&auto=webp"
"Dr. Air Berger, an internist who specializes in palliative care at Holy Name Medical Center, speaks to a patient about palliative care."
660
472
[ [ 103, 112, 0.03361309129654584, 0.07141170402367909, 0.6099281239997963, 0.99553116162618, 0.9248394 ], [ 16, 28, 0.330740504202674, 0.03581977883974711, 0.8666892167132216, 0.9968671798706055, 0.9240748 ] ]
[ [ 103, 112, 0.03361309129654584, 0.07141170402367909, 0.6099281239997963, 0.99553116162618, 0.9248394 ], [ 16, 91, 0.330740504202674, 0.03581977883974711, 0.8666892167132216, 0.9968671798706055, 0.9240748 ] ]
"000007778"
0.303223
0.215576
8,461,085,612,695
"https://passthemicyouth.ces.ncsu.edu/wp-content/uploads/2020/05/hail-pic-1-300x300.jpg"
"Young woman in a read dress sitting and reading in an armchair"
300
300
[ [ 15, 27, 0.2716386159261068, 0.4783769734700521, 0.7313673400878906, 0.9820786539713542, 0.79319507 ], [ 51, 62, 0.08430652618408203, 0.09918624877929688, 0.9112945556640625, 0.99875, 0.6645058 ] ]
[ [ 15, 27, 0.2716386159261068, 0.4783769734700521, 0.7313673400878906, 0.9820786539713542, 0.79319507 ], [ 51, 62, 0.08430652618408203, 0.09918624877929688, 0.9112945556640625, 0.99875, 0.6645058 ] ]
"000000676"
0.336182
0.325195
5,351,529,738,174
"https://cdn4.vectorstock.com/i/thumb-large/36/38/swim-like-a-fish-hand-drawn-lettering-vector-28973638.jpg"
"Swim like a fish hand drawn lettering vector"
238
250
[ [ 10, 44, 0.036597368096103186, 0.06087541198730469, 0.967920832273339, 0.9293500366210937, 0.6652467 ] ]
[ [ 10, 44, 0.036597368096103186, 0.06087541198730469, 0.967920832273339, 0.9293500366210937, 0.6652467 ] ]
"000003982"
0.299072
0.226196
3,813,931,710,455
"https://www.butchersandpackers.com/uploads/files/images/misc%20marketing/cast-iron-3.jpg"
"A round and square shaped skillet"
827
827
[ [ 0, 33, 0.19674907128016153, 0.1142048438390096, 0.8166255156199137, 0.41815610726674396, 0.6600086 ] ]
[ [ 0, 33, 0.19674907128016153, 0.1142048438390096, 0.8166255156199137, 0.41815610726674396, 0.6600086 ] ]
"000009312"
0.292236
0.227173
2,147,483,800,438
"https://img-aws.ehowcdn.com/560x560/photos.demandstudios.com/getty/article/34/3/78033118.jpg"
"Invite local farmers to sell their produce at your barn."
560
560
[ [ 7, 20, 0.1260866125424703, 0.10447265704472859, 0.8957037130991617, 0.9987499713897705, 0.8537578 ], [ 7, 20, 0.0027184675758083663, 0.005691413457194964, 0.43776877721150714, 0.9794994990030924, 0.8208703 ], [ 29, 42, 0.05102508266766866, 0.7712930043538412, 0.9987499713897705, 0.9979066054026285, 0.737603 ] ]
[ [ 7, 20, 0.1260866125424703, 0.10447265704472859, 0.8957037130991617, 0.9987499713897705, 0.8537578 ], [ 7, 20, 0.0027184675758083663, 0.005691413457194964, 0.43776877721150714, 0.9794994990030924, 0.8208703 ], [ 29, 42, 0.05102508266766866, 0.7712930043538412, 0.9987499713897705, 0.9979066054026285, 0.737603 ] ]
"000003162"
0.319824
0.240356
5,841,155,553,375
"https://mars.nasa.gov/msl-raw-images/proj/msl/redops/ods/surface/sol/03071/opgs/edr/ncam/NRB_670113041EDR_S0870792NCAM00594M_.JPG"
"Nasa's Mars rover Curiosity acquired this image using its Right Navigation Camera on Sol 3071, at drive 792, site number 87"
1,024
512
[ [ 37, 47, 0.005528831233580907, 0.006592979033788045, 0.9937252203623453, 0.9943821430206299, 0.7031251 ] ]
[ [ 37, 47, 0.005528831233580907, 0.006592979033788045, 0.9937252203623453, 0.9943821430206299, 0.7031251 ] ]
"000005781"
0.356201
0.299316
3,616,363,179,271
"https://media.breitbart.com/media/2020/09/san-francisco-golden-gate-smoke-wildfires-getty-420x315.jpg"
"Cars drive along the Golden Gate Bridge under an orange smoke filled sky at midday in San Francisco, California on September 9, 2020. - More than 300,000 acres are burning across the northwestern state including 35 major wildfires, with at least five towns "substantially destroyed" and mass evacuations taking place. …"
420
315
[ [ 17, 39, 0.0018283922047842116, 0.33509368896484376, 0.7682442074730282, 0.8231508285280258, 0.8737558 ], [ 46, 72, 0, 0.0029310417553735156, 0.9973733811151414, 0.5701443626767113, 0.858562 ] ]
[ [ 17, 39, 0.0018283922047842116, 0.33509368896484376, 0.7682442074730282, 0.8231508285280258, 0.8737558 ], [ 46, 72, 0, 0.0029310417553735156, 0.9973733811151414, 0.5701443626767113, 0.858562 ] ]
"000008802"
0.304443
0.20752
6,073,084,557,350
"https://i.dailymail.co.uk/1s/2021/04/25/10/42187526-9509021-image-a-36_1619341330409.jpg"
"Paul took his unblemished record to 3-0 after downing Ben Askren with a first round knockout"
634
423
[ [ 54, 64, 0.10928397708468968, 0.07144821186860402, 0.5623947779337565, 0.9951338768005371, 0.67748684 ] ]
[ [ 54, 64, 0.10928397708468968, 0.07144821186860402, 0.5623947779337565, 0.9951338768005371, 0.67748684 ] ]
"000005335"
0.287598
0.27002
3,410,204,118,152
"https://static.vecteezy.com/system/resources/thumbnails/001/855/638/small/blank-book-on-the-desk-free-photo.jpg"
"Blank book on the desk"
301
200
[ [ 0, 10, 0.10234936685657184, 0.4454729461669922, 0.8956160941393272, 0.8949111175537109, 0.90265435 ] ]
[ [ 0, 22, 0.10234936685657184, 0.4454729461669922, 0.8956160941393272, 0.8949111175537109, 0.90265435 ] ]
"000007624"
0.314453
0.270996
8,452,496,181,986
"https://st.hzcdn.com/fimgs/pictures/kitchens/belgravia-london-smallwood-architects-img~f991ae430b06a465_9745-1-3ec0765-w312-h312-b0-p0.jpg"
"Design ideas for a medium sized contemporary galley open plan kitchen in London with a double-bowl sink, flat-panel cabinets, white cabinets, an island, white worktops, quartz worktops, glass sheet splashback, stainless steel appliances and white floors."
312
312
[ [ 142, 151, 0.2518804012200771, 0.5487592159173428, 0.876010503524389, 0.9929874126727765, 0.7506524 ], [ 126, 140, 0.10069001637972318, 0.25148139855800533, 0.237091675782815, 0.5104354467147436, 0.7163489 ], [ 105, 124, 0.5086351541372446, 0.3396898416372446, 0.6273659926194411, 0.4929865323580228, 0.68584394 ], [ 210, 236, 0.5541387704702524, 0.4724855178441757, 0.6191955957657251, 0.5425278590275691, 0.68045324 ], [ 126, 140, 0.0014194726752929199, 0.22511927286783853, 0.1105648432022486, 0.5207875080597706, 0.66606313 ] ]
[ [ 142, 151, 0.2518804012200771, 0.5487592159173428, 0.876010503524389, 0.9929874126727765, 0.7506524 ], [ 126, 140, 0.10069001637972318, 0.25148139855800533, 0.237091675782815, 0.5104354467147436, 0.7163489 ], [ 105, 124, 0.5086351541372446, 0.3396898416372446, 0.6273659926194411, 0.4929865323580228, 0.68584394 ], [ 210, 236, 0.5541387704702524, 0.4724855178441757, 0.6191955957657251, 0.5425278590275691, 0.68045324 ], [ 126, 140, 0.0014194726752929199, 0.22511927286783853, 0.1105648432022486, 0.5207875080597706, 0.66606313 ] ]

GRIT: Large-Scale Training Corpus of Grounded Image-Text Pairs

Dataset Summary

We introduce GRIT, a large-scale dataset of Grounded Image-Text pairs, which is created based on image-text pairs from COYO-700M and LAION-2B. We construct a pipeline to extract and link text spans (i.e., noun phrases, and referring expressions) in the caption to their corresponding image regions. More details can be found in the paper.

Supported Tasks

During the construction, we excluded the image-caption pairs if no bounding boxes are retained. This procedure resulted in a high-quality image-caption subset of COYO-700M, which we will validate in the future.

Furthermore, this dataset contains text-span-bounding-box pairs. Thus, it can be used in many location-aware mono/multimodal tasks, such as phrase grounding, referring expression comprehension, referring expression generation, and open-world object detection.

Data Instance

One instance is

{
  'key': '000373938', 
  'clip_similarity_vitb32': 0.353271484375, 
  'clip_similarity_vitl14': 0.2958984375, 
  'id': 1795296605919, 
  'url': "https://www.thestrapsaver.com/wp-content/uploads/customerservice-1.jpg", 
  'caption': 'a wire hanger with a paper cover that reads we heart our customers', 
  'width': 1024, 
  'height': 693, 
  'noun_chunks': [[19, 32, 0.019644069503434333, 0.31054004033406574, 0.9622142865754519, 0.9603442351023356, 0.79298526], [0, 13, 0.019422357885505368, 0.027634161214033764, 0.9593302408854166, 0.969467560450236, 0.67520964]], 
  'ref_exps': [[19, 66, 0.019644069503434333, 0.31054004033406574, 0.9622142865754519, 0.9603442351023356, 0.79298526], [0, 66, 0.019422357885505368, 0.027634161214033764, 0.9593302408854166, 0.969467560450236, 0.67520964]]
}
  • key: The generated file name when using img2dataset to download COYO-700M (omit it).
  • clip_similarity_vitb32: The cosine similarity between text and image(ViT-B/32) embeddings by OpenAI CLIP, provided by COYO-700M.
  • clip_similarity_vitl14: The cosine similarity between text and image(ViT-L/14) embeddings by OpenAI CLIP, provided by COYO-700M.
  • id: Unique 64-bit integer ID in COYO-700M.
  • url: The image URL.
  • caption: The corresponding caption.
  • width: The width of the image.
  • height: The height of the image.
  • noun_chunks: The noun chunks (extracted by spaCy) that have associated bounding boxes (predicted by GLIP). The items in the children list respectively represent 'Start of the noun chunk in caption', 'End of the noun chunk in caption', 'normalized x_min', 'normalized y_min', 'normalized x_max', 'normalized y_max', 'confidence score'.
  • ref_exps: The corresponding referring expressions. If a noun chunk has no expansion, we just copy it.

Download image

We recommend to use img2dataset tool to download the images.

  1. Download the metadata. You can download it by cloning current repository:
git lfs install
git clone https://Model Database.co/datasets/zzliang/GRIT
  1. Install img2dataset.
pip install img2dataset
  1. Download images You need to replace /path/to/GRIT_dataset/grit-20m with the local path to this repository.
img2dataset --url_list /path/to/GRIT_dataset/grit-20m --input_format "parquet"\
    --url_col "url" --caption_col "caption" --output_format webdataset \
    --output_folder /tmp/grit --processes_count 4 --thread_count 64 --image_size 256 \
    --resize_only_if_bigger=True --resize_mode="keep_ratio" --skip_reencode=True \
    --save_additional_columns '["id","noun_chunks","ref_exps","clip_similarity_vitb32","clip_similarity_vitl14"]' \
    --enable_wandb False

You can adjust some parameters according to your actual needs (e.g., processes_count, thread_count, image_size, save_additional_columns). More img2dataset hyper-parameters can be found in here.

Citation Information

If you apply this dataset to any project and research, please cite our paper and coyo-700m:

@article{Kosmos2,
  title={Kosmos-2: Grounding Multimodal Large Language Models to the World},
  author={Zhiliang Peng and Wenhui Wang and Li Dong and Yaru Hao and Shaohan Huang and Shuming Ma and Furu Wei},
  journal={ArXiv},
  year={2023},
  volume={abs/2306.14824}
}

@misc{kakaobrain2022coyo-700m,
  title         = {COYO-700M: Image-Text Pair Dataset},
  author        = {Minwoo Byeon, Beomhee Park, Haecheon Kim, Sungjun Lee, Woonhyuk Baek, Saehoon Kim},
  year          = {2022},
  howpublished  = {\url{https://github.com/kakaobrain/coyo-dataset}},
}
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