Celebamask Hq Alternatives
A large-scale face dataset for face parsing, recognition, generation and editing.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Insightface | 19,487 |  | 1 | 10 | 10 months ago | 28 | December 17, 2022 | 1,016 | mit | Python |
| State-of-the-art 2D and 3D Face Analysis Project | ||||||||||
| Mvision | 5,784 | 3 years ago | 14 | C++ | ||||||
| 机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶 | ||||||||||
| Deep Text Recognition Benchmark | 3,412 | a year ago | 217 | apache-2.0 | Jupyter Notebook | |||||
| Text recognition (optical character recognition) with deep learning methods. | ||||||||||
| Lstm Human Activity Recognition | 3,074 | 2 years ago | 19 | mit | Jupyter Notebook | |||||
| Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier | ||||||||||
| Ccpd | 1,965 | a year ago | 84 | mit | Python | |||||
| [ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition | ||||||||||
| Celebamask Hq | 1,456 | 3 years ago | 49 | Python | ||||||
| A large-scale face dataset for face parsing, recognition, generation and editing. | ||||||||||
| Entity Recognition Datasets | 1,386 | a year ago | 7 | mit | Python | |||||
| A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types. | ||||||||||
| Pytorch Video Recognition | 1,114 | 10 months ago | 46 | mit | Python | |||||
| PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition. | ||||||||||
| Real World Masked Face Dataset | 1,100 | 4 years ago | 32 | Python | ||||||
| Real-World Masked Face Dataset，口罩人脸数据集 | ||||||||||
| Bert Ner | 1,000 | 4 years ago | 71 | mit | Python | |||||
| Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）. | ||||||||||
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