Lobe
Lobe is a free, easy-to-use desktop application from Microsoft that allows anyone to train custom machine learning models with a visual interface.
Price: Free
Description
Lobe simplifies the process of building and training machine learning models for image classification, object detection, and data classification. It provides a visual, drag-and-drop interface, allowing users to import images or data, label them, and then train a custom AI model without writing any code. Lobe is designed for creators, developers, and everyday users who want to add AI capabilities to their projects, from building smart apps to automating tasks. Its key differentiator is its accessibility and free nature, making machine learning approachable for a wide audience, especially for visual recognition tasks.
How to Use
1.Download and install the Lobe desktop application.
2.Create a new project and import your images or dataset.
3.Label your data by drawing bounding boxes for objects or assigning categories to images/rows.
4.Click "Train" and Lobe will automatically train a machine learning model.
5.Evaluate your model, test it with new data, and then export it to various platforms (e.g., TensorFlow, Core ML) for use in applications.
Use Cases
Custom image classificationObject detection in photosAutomated content moderationBuilding smart appsEducational projectsData classification tasks
Pros & Cons
Pros
- Completely free to download and use.
- Extremely user-friendly, no-code visual interface.
- Simplifies complex machine learning model training.
- Supports common computer vision tasks like image classification.
- Allows easy export of trained models for integration.
Cons
- Limited to specific types of machine learning models (primarily vision-based).
- Requires a local machine with sufficient processing power for training.
- May not offer the fine-grained control or advanced features needed by expert data scientists.
Pricing
Free:
Full access to Lobe desktop application
Train and export custom machine learning models
No usage limits or subscriptions
Price: $0
Free Trial: N/A (It is entirely free)
Refund Policy: N/A (It is a free application).
FAQs