license: apache-2.0
language:
- en
Model Description
The LeNNon_smile_detector model is used to detect smiling and not-smiling faces.
The model was trained with CelebA dataset.
Details
Dataset: CelebFaces Attributes
The creators of the dataset wrote the following paper employing CelebA for face detection: S. Yang, P. Luo, C. C. Loy, and X. Tang, "From Facial Parts Responses to Face Detection: A Deep Learning Approach", in IEEE International Conference on Computer Vision (ICCV), 2015.
Language: English
Number of Training Steps: 20
Batch size: 32
Optimizer: Adam
Learning Rate: 0.001
GPU: T4
This repository has the source code used to train this model.
Performance
Final Validation Accuracy: 90.56% Final Validation Loss: 0.6397
Cite as 🤗
@misc{teenytinycastle,
doi = {10.5281/zenodo.7112065},
url = {https://huggingface.co/AiresPucrs/LeNNon_smile_detector},
author = {Nicholas Kluge Corr{\^e}a},
title = {Teeny-Tiny Castle},
year = {2023},
publisher = {HuggingFace},
journal = {HuggingFace repository},
}
License
The LeNNon_smile_detector model is licensed under the Apache License, Version 2.0. See the LICENSE file for more details.