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This is a restful API written in Python and Flask Micro-framework, implementing a pre-trained image detection neural network (ImageNet) with the tensorflow library. App was deployed on AWS and AZURE utilizing a docker container.
FYP Group Project, based on TensorFlow Lite Model Trained Datasets with accessible Libraries generated from Google Machine Teachable for Machine Learning.
It seems like you're referring to "Facial Beauty Detection," which involves developing a system or model to evaluate and quantify the beauty of facial features in images.
We will use the Convolutional Neural Networks, to classify the cancer cells into Normal and Cancer cells. Two custom models and two models on transfer learning.
This project implements a YOLOv8 model to detect and classify various skin diseases from images. The model is trained on a dataset of labeled images and can identify different types of skin conditions in real-time.