SkikriHassane01/Deep-Learning-Driven-Virtual-Fashion-Fitting

AI Summary: The task involves preparing datasets for a virtual fashion fitting project. This includes collecting, cleaning, labeling, and augmenting two datasets: a fashion dataset (images and descriptions) and a pose estimation dataset (images with body pose annotations). Data cleaning steps involve handling corrupted images, inconsistent annotations, and normalizing image sizes. Labeling involves categorizing clothing items and generating pose annotations for each fashion image. Data augmentation techniques will be applied to improve model generalization.