---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---

# Model Card for Model Face Expression Detection

<!-- Provide a quick summary of what the model is/does. -->

This model is used to detect face expressions. You need to upload a clear face picture and the model generate the possiblities of the expression. happy , angry , fear or others

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Dmytro Iakubovskyi
- **Remade by:** Song Chen
- **Model type:** 'google/vit-base-patch16-224-in21k'
- **Finetuned from model [optional]:** 'google/vit-base-patch16-224-in21k'

### Model Sources [optional]

<!-- Provide the basic links for the model. -->

- **Paper [optional]:** ViTFER: Facial Emotion Recognition with Vision Transformers


## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->

### Direct Use

<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
This model intend to be part of web application development using flask. The original model complete training is from kaggle. 

[Reference from DIMA896](https://www.kaggle.com/code/dima806/facial-emotions-image-detection-vit)

[My breakdown model](https://www.kaggle.com/code/ycbq999/facial-emotions-image-detection-vit-breakdown)