This project use Challenges in Representation Learning: Facial Expression Recognition Challenge dataset, aka FER2013, from Kaggle to train, validate and test the model created.
Some data has to be on Google Drive, because Github limit size of files. But this are available in this link.
Obs.: Folders from Google Drive has to be in root of this repository to all work.
| Task description | Status |
|---|---|
| Write for paper ENIAC 2018 | DONE |
| Translate paper wrote for ENIAC 2018 to English | PEND |
| Create script that uses model created to real time Facial Expression Recognition | PEND |
| Document all notebooks, codes, etc... | PEND |
| Document this repository (metadata) | PEND |
| Create Github pages for this repository | PEND |
| Make public kernels to Kaggle | PEND |
| Make public Google Colab notebooks | PEND |