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simple-face-recognition

Tabular Regression
Scikit-learn
skops
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---
license: mit
library_name: sklearn
tags:
- sklearn
- skops
- tabular-regression
model_format: pickle
model_file: lda_openai_clip_model.pkl
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---
# Model description
一个简易说的人脸识别baseline，使用openai/clip-vit-base-patch16 + LDA的策略
## Intended uses & limitations
整体需要配合github对应的代码使用
## Training Procedure
[More Information Needed]
### Hyperparameters
<details>
<summary> Click to expand </summary>
| Hyperparameter | Value |
|----------------------|---------|
| covariance_estimator | |
| n_components | 512 |
| priors | |
| shrinkage | |
| solver | svd |
| store_covariance | False |
| tol | 0.0001 |
</details>
### Model Plot
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## Evaluation Results
[More Information Needed]
# How to Get Started with the Model
[More Information Needed]
# Model Card Authors
Cheng Li(https://github.com/LC1332)
# Model Card Contact
You can contact the model card authors through following channels:
[More Information Needed]
# Citation
@inproceedings{wang2018devil,
title={The devil of face recognition is in the noise},
author={Wang, Fei and Chen, Liren and Li, Cheng and Huang, Shiyao and Chen, Yanjie and Qian, Chen and Loy, Chen Change},
booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
pages={765--780},
year={2018}
}