Lobe

In today’s rapidly developing AI era, more and more developers and enterprises hope to integrate machine learning models into their applications. However, the traditional model training process usually requires deep programming knowledge and complex setups, which is a huge barrier for many non-professionals. To solve this problem, Microsoft launched Lobe, a simple and free machine learning model training tool, designed to enable everyone to easily create and train their own models.

Website Introduction

Lobe is a no-code development platform provided by Microsoft, designed for users who want to quickly develop machine learning models. Whether developers, enterprises, or individual users, they can easily create and train models through Lobe.

Key Features

Lobe simplifies the machine learning process into three steps: 1) Collect and label images; 2) Train the model and understand the results; 3) Use, improve, and export the model. In addition, Lobe automatically selects the appropriate machine learning architecture for the user’s project, such as image classification, object detection, data classification, etc.

Related Projects

Lobe has partnered with Adafruit to launch a machine learning kit to help users bring their machine learning ideas to life. Users can apply the trained models to actual projects through this kit.

Advantages

Lobe’s no-code solution allows users without programming experience to get started easily. Its simplified process and automatic architecture selection greatly lower the threshold for machine learning, receiving widespread praise from users.

Pricing

Lobe is completely free. Users can train on their own computers without uploading data to the cloud, ensuring data privacy.

Summary

Lobe was launched by Microsoft in 2018, located in the United States, dedicated to providing simple and easy-to-use machine learning model training tools. Through these innovative features, users can quickly create and deploy their own machine learning models to meet various application needs.