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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: 10 days 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 (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2020-07-20T01:32:53.000Z (over 4 years ago)
- Last Synced: 2024-08-02T11:15:24.888Z (3 months ago)
- Topics: deep-learning, document-analysis, object-detection, scene-text
- Language: Jupyter Notebook
- Homepage:
- Size: 27.9 MB
- Stars: 636
- Watchers: 31
- Forks: 155
- 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])