https://github.com/yuliang-liu/curve-text-detector

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.
https://github.com/yuliang-liu/curve-text-detector

deep-learning document-analysis object-detection scene-text

Last synced: about 16 hours ago
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This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

• Host: GitHub
• URL: https://github.com/yuliang-liu/curve-text-detector
• Owner: Yuliang-Liu
• Created: 2017-11-30T15:30:08.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-07-20T01:32:53.000Z (over 4 years ago)
• Last Synced: 2024-12-14T16:09:05.873Z (8 days ago)
• Topics: deep-learning, document-analysis, object-detection, scene-text
• Language: Jupyter Notebook
• Homepage:
• Size: 27.9 MB
• Stars: 644
• Watchers: 30
• Forks: 156
• Open Issues: 7
• Metadata Files:
  • Readme: README.md

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README

        

# SCUT-CTW1500 Datasets 

**We have updated annotations for both train and test set.** 

Train: 1000 images [[images]](https://universityofadelaide.box.com/shared/static/py5uwlfyyytbb2pxzq9czvu6fuqbjdh8.zip)[[annos]](https://universityofadelaide.box.com/shared/static/jikuazluzyj4lq6umzei7m2ppmt3afyw.zip) 

Additional point annotation for each character is included. Example can be referred to [here](https://github.com/Yuliang-Liu/Curve-Text-Detector/tree/master/data).

```

wget -O train_images.zip https://universityofadelaide.box.com/shared/static/py5uwlfyyytbb2pxzq9czvu6fuqbjdh8.zip

wget -O train_labels.zip https://universityofadelaide.box.com/shared/static/jikuazluzyj4lq6umzei7m2ppmt3afyw.zip

```

Test: 500 images [[images]](https://universityofadelaide.box.com/shared/static/t4w48ofnqkdw7jyc4t11nsukoeqk9c3d.zip)[[annos]](https://cloudstor.aarnet.edu.au/plus/s/uoeFl0pCN9BOCN5) 

```

wget -O test_images.zip https://universityofadelaide.box.com/shared/static/t4w48ofnqkdw7jyc4t11nsukoeqk9c3d.zip

wget -O test_labels.zip https://cloudstor.aarnet.edu.au/plus/s/uoeFl0pCN9BOCN5/download

```

*Note all Chinese texts are annotated with '###' (ignore) in this updated version, because the number of Chinese is too small for both training and testing purpose. [ArT](http://rrc.cvc.uab.es/?ch=14) and [LSVT](https://rrc.cvc.uab.es/?ch=16) two optional large-scale arbitrarily-shaped text benchmarks for both Chinese and English.* 

# SCUT-CTW1500 Evaluation

Original detection only [evaluation script](https://github.com/Yuliang-Liu/TIoU-metric/tree/master/curved-tiou). 

For both detection and end-to-end evaluation in the updated version, please refer to [here](https://universityofadelaide.box.com/shared/static/ys234cg1rtgke051hu33lbm5ri0bvxr0.zip). This scipt also includes evaluation example for [Total-text](https://github.com/cs-chan/Total-Text-Dataset).

# Info

The project is outdated and will not be maintained anymore. Original info is kept in [OLD_README.md](https://github.com/Yuliang-Liu/Curve-Text-Detector/tree/master/OLD_README.md).

## Copyright

The SCUT-CTW1500 database is free to the academic community for research only.

For other purpose, please contact Dr. Lianwen Jin: [[email protected]]([email protected])