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Scene Text Recognition Papers


  • We are dedicated to provide convinence for you. All the datasets have been uploaded to BaiduNet Disk for a stable downloding in China. We will also upload them to Google Drive in the later updating for international friends.😀😀

Content

Visualize Dataset

  • We provide dataset in lmdb form which is quite often used in scene text recognition for fast disk loading. And the drawback is thatyou can't have access to picture in .JPG form without code.
  • Here we provide a simple code visualize_dataset.py to read lmdb file and preserve picture on your computer. You can modify ti to fit your own situation.
  • python visualize_dataset.py
  • if __name__ =="__main__": 
  dataset_path = './data_CVPR2021/training/label/real/11.ReCTS' # where the data file is
  dataset = lmdbDataset(dataset_path)
  loader = DataLoader(dataset, batch_size=1,shuffle=True)
  for i, batch in enumerate(loader):
      img = batch
      torchvision.utils.save_image(img,'ReCTS'+str(i)+'.jpg')
      if i >=2 :
          break

1.Synthetic Datasets

  • Text recognition is data-hungary, so the synthetic data is often used for pre-training.
Dataset Description Examples BaiduNetdisk link
SynthText 9 million synthetic text instance images from a set of 90k common English words. Words are rendered onto nartural images with random transformations SynthText Scene text datasets(提取码:emco)
MJSynth 6 million synthetic text instances. It's a generation of SynthText. MJText Scene text datasets(提取码:emco)

2.Real Datasets

2.1.Benchmarks

  • Benchmark datasets are used to evaluate the performance of a recognizer on real scene
Dataset Description Examples BaiduNetdisk link
IIIT5k-Words(IIIT5K) 3000 test images instances. Take from street scenes and from originally-digital images IIIT5K Scene text datasets(提取码:emco)
Street View Text(SVT) 647 test images instances. Some images are severely corrupted by noise, blur, and low resolution SVT Scene text datasets(提取码:emco)
StreetViewText-Perspective(SVT-P) 639 test images instances. It is specifically designed to evaluate perspective distorted textrecognition. It is built based on the original SVT dataset by selecting the images at the sameaddress on Google Street View but with different view angles. Therefore, most text instancesare heavily distorted by the non-frontal view angle. SVTP Scene text datasets(提取码:emco)
ICDAR 2003(IC03) 867 test image instances IC03 Scene text datasets(提取码:mfir)
ICDAR 2013(IC13) 1015 test images instances IC13 Scene text datasets(提取码:emco)
ICDAR 2015(IC15) 2077 test images instances. As text images were taken by Google Glasses without ensuringthe image quality, most of the text is very small, blurred, and multi-oriented IC15 Scene text datasets(提取码:emco)
CUTE80(CUTE) 288 It focuses on curved text recognition. Most images in CUTE have acomplex background, perspective distortion, and poor resolution CUTE Scene text datasets(提取码:emco)

2.2.Others Labeled Datasets

Dataset Description Examples BaiduNetdisk link
COCO-Text 39K Created from the MS COCO dataset. As the MS COCO dataset is not intended to capture text. COCO contains many occluded or low-resolution texts Others(提取码:DLVC)
RCTW 8186 in English. RCTW is created for Reading Chinese Text in the Wild competition. We select those in english IIIT5K Others(提取码:DLVC)
Uber-Text 92K. Collecetd from Bing Maps Streetside. Many are house number, and some are text on signboards IIIT5K Others(提取码:DLVC)
Art 29K. Art is created to recognize Arbitrary-shaped Text. Many are perspective or curved texts. It also includes Totaltext and CTW1500, which contain many rotated or curved texts IIIT5K Others(提取码:DLVC)
LSVT 34K in English. LSVT is a Large-scale Streeet View Text dataset, collected from streets in China. We select those in english IIIT5K Others(提取码:DLVC)
MLT19 46K in English. MLT19 is created to recognize Multi-Lingual Text. It consists of seven languages:Arabic, Latin, Chinese, Japanese, Korean, Bangla, and Hindi. We select those in english IIIT5K Others(提取码:DLVC)
ReCTS 23K in English. ReCTS is created for the Reading Chinese Text on Signboard competition. It contains many irregular texts arranged in various layouts or written with unique fonts. We select those in english IIIT5K Others(提取码:DLVC)

3. Synthetic Engine

3.1. Style Text(基于场景文字编辑的合成引擎)

  • 开源地址:PaddleOCR
  • 特性: 输入文本和风格文本图片，即可将风格文本图片中的文本替换为目标文本
  • img

3.2. Text Renderer (1k⭐)

3.3. SynthText (1.7k⭐)

3.4. SynthText Chinese Version (817⭐)

3.5. Text Recognition Data Generator (2.1k⭐)

3.6. SynthText3D (118 ⭐)