aaurix / Image_to_ArticleLinks
图像自动标注
☆28Updated 7 years ago
Alternatives and similar repositories for Image_to_Article
Users that are interested in Image_to_Article are comparing it to the libraries listed below
Sorting:
- 图片简易标注工具,标注类似ICDAR数据集,支持多边形标注,文本标注,方便OCR数据集标注。☆54Updated 6 years ago
- ☆23Updated 7 years ago
- A deeplearning application of mobile photography☆40Updated 6 years ago
- using python and flask for ocr annotation web tool☆25Updated 5 years ago
- 首届“马栏山”杯国际音视频算法大赛图像赛道demo☆34Updated 3 years ago
- Code for my blog:☆46Updated 6 years ago
- YOLO3 动漫人脸检测 (Based on keras and tensorflow) 2019-1-19☆130Updated 4 years ago
- 生成用于训练CRNN的图片数据☆20Updated 7 years ago
- 微调 Inception-ResNet-V2, 解决 AI Challenger 2017 场景分类问题。☆79Updated 5 years ago
- Face Scoring Model to Get the Beauty Score of Face☆24Updated 6 years ago
- Faster_RCNN for text detection 文本检测☆63Updated 3 years ago
- DCIC 钢筋数量AI识别 baseline 0.98+。☆72Updated 4 years ago
- ☆52Updated 7 years ago
- 公共场合口罩检测☆18Updated 5 years ago
- 使用keras建立faster rcnn网络,训练完成后,将识别接口释放为rest,方便后端调用☆21Updated 6 years ago
- 雪浪制造AI挑战赛—视觉计算辅助良品检测 test_a 952 test_b 953☆58Updated 6 years ago
- 京东 JDD 大赛 猪脸识别项目☆78Updated 6 years ago
- crnn feature net + attention 机制☆39Updated 6 years ago
- simple rebar detection competition https://www.datafountain.cn/competitions/332/details☆38Updated 6 years ago
- TinyMind人民币编码识别竞赛,第三名代码☆21Updated 5 years ago
- A Python 3 and Keras 2 implementation of MSCNN for people counting.☆68Updated 6 years ago
- 手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能☆28Updated 7 years ago
- 使用CNN全卷积神经网络进行整行汉字识别,正确率90-94%,后来有朋友改成densenet做主网络,做到99%以上正确率☆31Updated 5 years ago
- 京东JDD猪脸识别比赛☆24Updated 7 years ago
- mosaic detector in picture.☆41Updated last year
- CCFDF AI 数钢筋大赛☆172Updated 5 years ago
- ocr with yolo3 as feature extractor, implemented by keras, and accelerated by tensorrt☆34Updated 4 years ago
- Python3使用TF-Slim进行图像分类☆50Updated 7 years ago
- 雪浪制造AI挑战赛—视觉计算辅助良品检测☆99Updated 5 years ago
- 对matterport版mask rcnn的注释☆16Updated 6 years ago