Autism Spectrum Disorder Detection using Facial Traits: Dual Framework DenseRes with K-Fold Cross Validation (DFDK) for Enhanced Classification Accuracy

This dataset is created using data from Kaggle, an open source website for data. The dataset consists of 2940 facial images of children between male and female participants, divided into two primary classes: Autistic and Non-Autistic. The dataset is organized into three folders with each folder containing the images of both classes. The data has been curated for research purposes to improve the classification accuracy of autism detection models.