Project Title: Synthetic Image Data Generator Using GANs for Computer Vision Research. Description: This project involved the development of a synthetic image data generator using Generative ...

Data augmentation is an effective way to improve the generalization of deep learning models. However, the underlying augmentation methods mainly rely on handcrafted operations, such as flipping and ...

First, download the data and write the data path into split_data_to_train_and_validation.py then run it to generate training and test datasets. Then run train_hyperspectral_vgg19.py to train a VGG19 ...

Due to privacy issues and limited amount of publicly available labeled datasets in the domain of medical imaging, we propose an image generation pipeline to synthesize 3D echocardiographic images with ...

––WiMi Hologram Cloud Inc., a leading global Hologram Augmented Reality Technology provider, today announced that WiMi is working on feature transformation technique for image data ...

Freepik, the online graphic design platform, unveiled a new “open” AI image model on Tuesday that the company says was trained exclusively on commercially licensed, “safe-for-work” images.