Deep Block is a detection analytics with simple drag-and-drop web apps that researchers and students can use to run deep learning training and prediction routines without programming knowledge. This platform provides mouse-based data preparation with one-click training without need for coding or infrastructure management.

Deep Block has been optimized to offer high performance image analytics with artificial intelligence. In particular, we are improving an object detection speed of AI models for high resolutions images or video. Deep Block can be used for many applications, including research into disease models in life sciences using microscopy and weather forecast and geospatial analysis from satellites.

The demand for AI-driven applications is increasing, and this is creating an acute demand for talent. With Deep Block, users do not require any previous experience in software or hardware engineering, and they can focus on training their models and evaluating data seamlessly in the cloud, backed by Omnis Labs’ GPU data center.

Modern AI implementations require human intervention to train and validate supervised learning models. With Deep Block, people can learn these critical processes using built-in templates, and researchers can leverage the power of Deep Block to automate their computer vision workflows.

Deep Block can import images using common image formats, including JPEG, PNG, TIFF, and DICOM, and the image analysis web apps can also be customized for educational institutions, research institutions and enterprise customers to match their needs.