Fuse a logo graphic with any scenery you can imagine. Turn spirals, checkerboards, or line drawings into realistic scenery. An infinite canvas for all your AI generations. AI creative tooling.

2025年1月9日 · This all-in-one kit integrates the powerful DEEPX DX-M1 AI Booster, delivering 25 TOPS at just 5W, with the reliable NXP iMX8M Mini processor and a cutting-edge carrier board expertly designed by Embedded Artists.

Transform text into images and explore with endless imagination.

The DEEPX iMX8M Mini AI Kit lets you get up-and-running quickly with the iMX8M Mini uCOM Board and the DEEPX DX-M1 AI Booster, delivering 25TOPS. The kit contains everything needed to start your test phase and run pretrained/precompiled models from DEEPX.

Designed for use in visual object recognition research. It contains over 14 million images, making it one of the most extensive resources available for training deep learning models. It comprises of 1000 classes. Task: Identify and locate multiple objects within an image by classifying each object. Training dataset: COCO.

4 天之前 · The Avnet i.MX 8M Plus Edge AI Kit consists of a SMARC System-on-Module (SOM) and an Industrial Carrier board bundled together with a dual camera adapter to provide a complete embedded computing system for prototyping new industrial systems and evaluating the capabilities of the NXP i.MX 8M device family.

The photo above provides an overview of the DEEPX iMX8M Mini AI Kit. The highlighted parts are described below. Power on/off switch; Power supply; Micro-B to A USB cable for downloading Linux images (Option 1) USB camera. Connect either a USB camera (included in kit) or a MIPI camera (not included). Micro-B to A USB cable for console connection

2025年1月9日 · Industrial and embedded computing specialist Virtium Embedded Artists has announced the launch of the DEEPX iMX8M Mini AI Kit, developed in partnership with DEEPX: a single-board computer (SBC) style development bundle with an "AI Booster" delivering 25 tera-operations per second (TOPS) of compute at a 5W power draw for on-device machine ...

• One of many ways to implement AI • The concept that if you give machines a lot of data, they can learn how to do smart things on their own, without having to be explicitly programmed to do that action. • Self learning and self improving Artificial Intelligence Machine Learning Deep Learning Deep Learning

2025年1月10日 · The DEEPX DX-M1 AI Booster delivers 25 TOPS of AI performance with a power consumption of 5W, focusing on efficiency in terms of cost, power, and performance. The iMX8M Mini processor complements this with quad-core Cortex-A53 CPUs, a dedicated Cortex-M4 core, and multimedia capabilities suitable for Edge AI tasks.