CoSupport AI
What is Liner?
Liner is an innovative, end-to-end tool designed for training machine learning models without the need for coding. This user-friendly platform allows individuals to create AI applications by simply providing training data, resulting in a model that can be seamlessly integrated into various applications.
With Liner, users can work on unlimited projects, manage teams, and share files effortlessly. The tool supports several machine learning types, including image classification, text classification, audio classification, video classification, object detection, image segmentation, and pose classification. Liner's state-of-the-art models are optimized for both speed and accuracy, typically completing training within minutes, even on CPUs without requiring a GPU.
Features
- Easy Integration: Provides easy-to-integrate ML models
- No Coding Required: Train ML models without writing code
- Multiple Project Types: Supports various ML project templates
- Fast Training: Models are trained within minutes in most cases
- Edge Optimization: Trained models can be used on mobile/edge devices
- Data Privacy: Training happens locally, ensuring data protection
- Export Flexibility: Export trained models to several platforms
Use Cases
- Image Classification
- Text Classification
- Audio Classification
- Video Classification
- Object Detection
- Image Segmentation
- Pose Classification
FAQs
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Where does the training happen?
Training happens locally on your computer. Nothing is sent to the cloud. -
Where do I get the data to train my model?
You can import your own data or you could also use our library of datasets. -
Can I train my models without a GPU?
You can train your models without a GPU. We have optimized the models for standard CPU training as well. -
Do I need experience in machine learning?
No, you don't need experience in machine learning. Liner's interface is very intuitive for beginners. -
Is Liner available for both Windows and Mac?
Yes, Liner is available for both Windows and Mac operating systems.
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