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This project implements an image-to-image translation model using the Pix2Pix architecture with TensorFlow. The goal is to generate realistic images from input images using the TU-Graz dataset.
Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.
A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images