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Tiorb AI Store - Grow Your Business

Tiorb AI Store is a global artificial intelligence algorithm and solutions platform built by Gravitylink, AI technology promotion partner of Google. Tiorb AI Store aims to bring together global outstanding AI solutions and enterprises with demands in an efficient way. By establishing a direct connection, Tiorb AI Store will help to accelerate the implementation and application of artificial intelligence technology across any kind of industry.
In 2019, Gravitylink has been promoting Google AI technology and presenting Google Edge TPU in more than 40 countries and regions. We have served over 3000 enterprises clients, covering smart cities, automotive, manufacturing, healthcare, retail, logistics, consumer electronics, education, etc., and received more than 1200 demand feedback.
In 2020, Gravitylink will together with Google, provide you high-quality service and products, empowering your business value.
Gravitylink would like to invite your company to join our platform, let AI technology enables new possibilities in the future.
What you will get:
Global promotion and potential clients resources;
Introducing to more than 3000 companies;
Free promotion on our social media 10 times/year;
Specific demonstrating pages for enterprises;
Inquiry from clients on our platform will push to you directly;
Google AI Engineers and AI technology expert training opportunities 3 times / year;
Google Coral USB Accelerator and instructions;
For whom we are looking for:
Developers, teams, gstarups and enterprises who have independent intellectual property AI products (both hardware and software) and solutions.
About us- Gravity Link International Limited
Gravity Link International Limited (www.gravitylink.com) is founded in 2018 and based in Hong Kong. Focus on the R&D and application innovation of artificial intelligence technology, Gravitylink aims at establishing a global artificial intelligence algorithm and solutions trading market for AI enterprise and developers in the worldwide.
Gravitylink is the distributor of Google AIY Projects products/ Google Coral products, and the artificial intelligence technology promotion partner of Google.

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How to Retrain an object detection model

This tutorial shows you how to retrain an object detection model to recognize a new set of classes. You'll use a technique called transfer learning to retrain an existing model and then compile it to run on an Edge TPU device—you can use the retrained model with either the Coral Dev Board or the Coral USB Accelerator. Specifically, this tutorial shows you how to retrain a MobileNet V1 SSD model (originally trained to detect 90 objects from the COCO dataset) so that it detects two pets: Abyssinian cats and American Bulldogs (from the Oxford-IIIT Pets Dataset). But you can reuse these procedures with your own image dataset, and with a different pre-trained model. The steps below show you how to perform transfer-learning using either last-layers-only or full-model retraining. Most of the steps are the same; just keep an eye out for the different commands depending on the technique you desire. Note: These instructions do not require deep experience with TensorFlow o...

How to retrain an image classification model?

Got a tutorial from Google Coral Team: This tutorial shows you how to retrain an image classification model to recognize a new set of classes. You'll use a technique called transfer learning to retrain an existing model and then compile it to run on an Edge TPU device—you can use the retrained model with either the Coral Dev Board or the Coral USB Accelerator. Specifically, this tutorial shows you how to retrain a  quantized  MobileNet V1 model to recognize different types of flowers (adopted from TensorFlow's docs). But you can reuse these procedures with your own image dataset, and with a different pre-trained model. Tip:  If you want a shortcut to train an image classification model, try Cloud AutoML Vision. It's a web-based tool that allows you to train a model with your own images, optimize it, and then export it for the Edge TPU. Set up the Docker container Prepare your dataset Retrain your classification model Compile the model for the Edge TPU Run...

Introducing Google Coral Edge TPU Device--Mini PCIe Accelerator

Mini PCIe Accelerator A PCIe device that enables easy integration of the Edge TPU into existing systems. Supported host OS: Debian Linux Half-size Mini PCIe form factor Supported Framework: TensorFlow Lite Works with AutoML Vision Edge https://store.gravitylink.com/global/product/miniPcIe The Coral Mini PCIe Accelerator is a PCIe module that brings the Edge TPU coprocessor to existing systems and products. The Mini PCIe Accelerator is a half-size Mini PCIe card designed to fit in any standard Mini PCIe slot. This form-factor enables easy integration into ARM and x86 platforms so you can add local ML acceleration to products such as embedded platforms, mini-PCs, and industrial gateways. https://store.gravitylink.com/global/product/miniPcIe Features Google Edge TPU ML accelerator Standard Half-Mini PCIe card Supports Debian Linux and other variants on host CPU About Edge TPU  The Edge TPU is a small ASIC designed by Google that provi...