Image recognition and object detection tasks often require significant effort to produce datasets large enough to train AI models. Even with sufficient data, it is often difficult to train models to a high accuracy without sophisticated knowledge of AI and deep learning. Moreover, fulfilling the demand for image recognition models in niche markets is another major challenge.

To overcome these issues, GRID has developed “ReNomTAG”, a web application which allows users to easily create the datasets needed for image recognition tasks, and “ReNom IMG”, which allows users to easily build, train and compare deep learning image recognition models. With these two applications, users can get better results more quickly.