In-depth analysis: LOBE – A no-code platform that makes AI model training "accessible to everyone"
As AI technology sweeps the globe, how can we...AI training modelMaking technology simple and intuitive has become a focus of technological development.LOBEThe innovative AI visualization platform acquired by Microsoft (https://www.lobe.ai/LOBE, with its drag-and-drop, no-code operation, has completely revolutionized the way AI models are trained. This article, in the form of an in-depth news report, comprehensively reviews LOBE's functional highlights, pricing system, applicable scenarios, usage process, and frequently asked questions, supplemented with checklists and tables to help readers grasp the future AI productivity revolution.
In-depth analysis: LOBE – A no-code platform that makes AI model training "accessible to everyone"
As AI technology sweeps the globe, making AI training models simple and intuitive has become a focus of technological development.LOBEThe innovative AI visualization platform acquired by Microsoft (https://www.lobe.ai/LOBE, with its drag-and-drop, no-code operation, has completely revolutionized the way AI models are trained. This article, in the form of an in-depth news report, comprehensively reviews LOBE's functional highlights, pricing system, applicable scenarios, usage process, and frequently asked questions, supplemented with checklists and tables to help readers grasp the future AI productivity revolution.
LOBE Platform Introduction and Industry Background
LOBEAcquired by Microsoft in 2018, it is dedicated to "making deep learning and AI model training simple, easy to understand, and accessible to everyone." It achieves this through intuitive...Graphical interfaceThis allows ordinary users to design artificial intelligence models for image recognition, audio analysis, and text processing without programming.
- Official website:https://www.lobe.ai/

LOBE's core conceptThe message is: "Everyone can use AI to do what they want, without needing a professional development background." LOBE is promoting the popularization and implementation of AI in fields such as education, manufacturing, agriculture, retail, and healthcare.
LOBE's main functions
LOBE's main feature is "visualized AI training models," and its key features are as follows (please refer to the following for detailed features:)Function Page):
1. Drag-and-drop, code-free operation
- No programming knowledge requiredBy uploading images, audio, or text, LOBE automatically identifies the data type and helps users train AI models.
- All operations are performed locally.High data securityPrivacy is guaranteed.
2. Supports multiple data types
- It supports different AI training models, such as image classification and detection, object recognition, audio processing, and action recognition.
- It allows for real-time previewing and testing of model performance.
3. Automated Model Training and Feedback

- LOBE will automatically select the most suitable AI training model after the user uploads the data, and continuously optimize it.
- It provides a visual dashboard of metrics such as model accuracy and recall, making the model's performance clear at a glance.
4. Model export and one-click deployment
- trained modelIt can be exported to multiple platforms.(Formats such as TensorFlow, ONNX, TensorFlow.js, etc.) can also be integrated into Web, mobile, and IoT devices.
- Integrates pre-defined APIs to facilitate subsequent application development.
5. Deep integration with the Microsoft ecosystem
- Seamless integration with Microsoft cloud products such as Azure and Power Apps (see details)Microsoft official news)。
- Supports local deployment and cloud collaboration.
Table: Overview of LOBE's Main Functions
| Function | illustrate | Page Link |
|---|---|---|
| No-code AI training | Drag and drop to complete all data annotation and model training. | Experience Entry |
| Multi-data type support | Image/audio/text/gesture recognition, etc. | Function Description |
| Automatic optimization model | Intelligently selects the best training method and provides feedback on performance. | Model training |
| Exporting multi-platform models | Export to multiple formats including ONNX, TensorFlow, Web API, and Edge. | Application scenarios |
| Microsoft cloud ecosystem integration | Seamless integration with Azure cloud and Power Apps | Microsoft News |

LOBE's pricing and plans
Since its inception, LOBE has always adhered to the principle of "usable for everyone," and has always been committed to serving individual users.Free admissionCore functionalities. For detailed pricing policies and commercial solutions, please refer to [link/reference].Official website pricing pageThe table below summarizes common application scenarios and their corresponding costs:
Table: LOBE Pricing Plans Overview
| plan | Annual fee/usage cost | illustrate |
|---|---|---|
| Personal Basic Edition | free | All basic AI model training and export tools are available, suitable for educational, hobby, and startup trials. |
| Microsoft Cloud Integration | Billing based on Azure | If the model is imported into Azure Cognitive Services/Power Platform, the official Azure pricing will apply. |
| OEM customization for enterprises | Needs to be discussed | Private deployment and professional customization are supported; please contact Microsoft's official sales team. |
Note: The LOBE local client is free to use. If used with MS cloud services, related API services will incur charges.
How to use LOBE
LOBE is known for its "minimalist AI experience," and the entire usage process consists of the following five steps. For more details, please refer to [link/reference].User Guide:
Step 1. Installation and Startup
- Download and install the local client (supports Windows/macOS, see below).Download page)。
Step 2. Data Preparation and Import
- Drag and drop images or other data onto the interface, and LOBE will automatically recognize the data type.
- Data labels can be manually added, and batch operations are supported.

Step 3. AI training model completes automatically.
- Click the "Train" button, and the platform will automatically select the optimal model type for training and feedback.
- View model accuracy, recall, and other metrics in real time.
Step 4. Evaluation and Optimization
- It supports real-time model testing, allowing performance to be verified with new data and the degree/label to be adjusted in a timely manner.
Step 5. Export Deployment and Application
- One-click model export (supports multiple platform formats).
- It can be directly embedded in websites, mobile apps, or connected to Azure cloud services.
User Manual
| step | Key Operations | Official documentation |
|---|---|---|
| Install client | Download and install | Click here to download |
| Import data | Drag and drop/upload data, manually or automatically tag. | Upload document |
| Automatic training model | One-click training of AI models, automatic system optimization | Same as above |
| Real-time evaluation and correction | Check accuracy using test data and optimize training data. | Same as above |
| Export and Integration | Supports exporting to multiple AI frameworks, facilitating development and product integration. | Integration Notes |

LOBE is suitable for people
LOBEThe biggest highlight is that it can be used to train AI models from beginner to expert: anyone can use it to train AI models without an IT background.
- Educators and studentsTeaching, scientific experiments, and innovative research projects: learn quickly without coding.
- Corporate Innovation Department/SMEsWith minimal investment, you can test AI-enabled products or smart applications.
- Developers and entrepreneursPrototype verification, personalized AI training, and reduced development cycle.
- Designers/Content CreatorsAI functions such as gesture recognition, image classification, and graphic design are integrated into the content.
- The general public and AI enthusiastsExperience cutting-edge AI technology without a huge investment.
More extended features and advantages
1. Full localization and privacy protection
All training and inference processes can be completed locally without uploading to the cloud, making the data more secure.
2. Export to multiple platforms
It supports multiple AI platforms such as TensorFlow, ONNX, and TF.js, facilitating secondary development and commercial applications.
3. Intelligent prompting system
It automatically recommends the optimal training strategy based on data type, number of labels, and other factors.
4. Community and Resource Openness
Actively share user case studies, educational templates, and community Q&A to support learning and growth.

Frequently Asked Questions
Is LOBE completely free to use? What are the hidden costs?
Currently, the LOBE desktop version is available for individual users.Free admissionModel training, export, and local usage are all free. Additional fees apply only to integration with cloud services like Azure or large-scale enterprise integration. There are no barriers to entry for basic user experience.
Which operating systems does LOBE support? Can it be used on mobile devices?
LOBE client official supportWindows and macOSCurrently, Linux and mobile devices (iOS/Android) are not supported. However, the exported AI models can be accessed via the web and multiple platforms.
What types of AI models does LOBE support? Can it perform text classification and speech recognition?
LOBE focuses on AI training models for "image recognition" (such as image classification and object detection), while gradually supporting audio (such as speech/music recognition), text processing, and gesture recognition.
Conclusion
LOBE, with its intuitive and visual interface, streamlined AI training process, and multi-platform deployment advantages, significantly lowers the barrier to entry for artificial intelligence, providing an innovative tool with "zero barriers" for education, businesses, and all AI enthusiasts. It is not only a new paradigm for AI training models but also a significant driving force for innovation in future production, daily life, and education. Welcome to log in.LOBE official websiteExperience the infinite possibilities of AI firsthand.
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