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Name: 'SynthText in the Wild Dataset'
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Paper:
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Title: Synthetic Data for Text Localisation in Natural Images
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URL: https://openaccess.thecvf.com/content_cvpr_2016/papers/Gupta_Synthetic_Data_for_CVPR_2016_paper.pdf
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Venue: CVPR
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Year: '2016'
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BibTeX: '@InProceedings{Gupta16,
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author = "Ankush Gupta and Andrea Vedaldi and Andrew Zisserman",
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title = "Synthetic Data for Text Localisation in Natural Images",
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booktitle = "IEEE Conference on Computer Vision and Pattern Recognition",
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year = "2016",
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}'
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Data:
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Website: https://www.robots.ox.ac.uk/~vgg/data/scenetext/
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Language:
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- English
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Scene:
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- Synthesis
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Granularity:
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- Word
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- Character
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Tasks:
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- textdet
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- textrecog
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- textspotting
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License:
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Type: Synthext Custom
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Link: https://www.robots.ox.ac.uk/~vgg/terms/dataset-group-2-access.html
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Format: .mat
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_base_ = ['textdet.py']
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_base_.train_preparer.packer.type = 'TextSpottingPacker'
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_base_.train_preparer.gatherer.img_dir = 'textdet_imgs/train'
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config_generator = dict(type='TextSpottingConfigGenerator')
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