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Lightweight image converter and dataset augmentor
Sample implementation codes for a variety of popular image augmentation Python packages
Machine Vision Project (Milestone 1 - Data Augmentation) which is supervised by: Dr. Hossam Abdelmunim and Eng. Yehia Zakaria and submitted by: Ali Essam, Ahmed Hussein, and Mohamed Ibrahim
Image and keypoint augmentor based on skimage and imgaug
Sample Data Augmentor for Beeswax
This is a Location Classifier implemented with architecture of Alex Net for the Kaggle contest in the course GNR 638
Custom Multi-Class Classification model based on CNN that can accurately detect melanoma amongst other skin cancers
Convolutional Neural Network is defined to help with the melanoma cancer detection case study based on the Skin cancer ISIC The International Skin Imaging Collaboration dataset.
Classify Geometric Images using Keras