Dataset - LDM

Multi-Lingual

The Multi-Lingual dataset is a benchmark for scene text recognition, containing 9,000 images with 9 languages.
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CUTE

CUTE is released by Risnumawan et al. There are only 288 word images in this dataset, but most of them are seriously curved.
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SVT

SVT is a very challenging dataset collected by Wang et al. from the Google Street View.
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MJSynth

The OCR and MT datasets are used to train the OCR and MT models respectively.
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IIIT5k

Scene text recognition using higher order language priors
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SynthText

SynthText dataset is proposed by Gupta et al. for scene text detection. The original dataset is composed of 800,000 scene text images, each with multiple word instances.
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DiffusionSTR

Diffusion Model for Scene Text Recognition
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Scene Text Recognition with Sliding Convolutional Character Models

Scene text recognition with sliding convolutional character models.
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Scene Text Recognition using Higher Order Language Priors

Scene text recognition using higher order language priors.
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SCAN: Sliding Convolutional Attention Network for Scene Text Recognition

Scene text recognition has drawn great attentions in the community of computer vision and artificial intelligence due to its challenges and wide applications. The proposed...
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ICDAR 2015

The dataset contains images of text in natural scenes, including street signs, logos, and product labels.
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STRAug

Scene text recognition (STR) is a challenging task in computer vision due to the large number of possible text appearances in natural scenes.
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12 datasets found