This project provides a model that classifies autistic children from non autistic by pictures of their faces. Using two models to compare between results and accuracy, model 2 shows better results.
Training data consists of 2 folders containing autistic and non autistic faces of children of 1268 pictures each. Test data consists of 400 mixed pictures of autistic and non autistic children
- Python >= 3.0
- install libraries:
pip install tflearn pip install tqdm
- run any of the models' files (Model1.py), (Model2.py)
results will be saved in the Submit.csv file, where label 0 is non autistic and 1 is autistic