Train ML models without coding and export to various platforms
Free and user-friendly tool
Import and train data with a press of a button
Export models to various platforms for integration
Pricing:
Liner.ai is an end-to-end tool for training machine learning models without coding. It allows users to import and train data with a press of a button and export models to various platforms for integration with applications. The tool offers ready-to-use machine learning types such as image classification, text classification, audio classification, video classification, object detection, image segmentation, and pose classification. Liner.ai is optimized for fast training, works on CPUs without a GPU, and ensures data privacy as training happens locally on the user's computer.
- No Code Required: Train machine learning models without needing any coding skills or expertise.
- Easy Data Import: Import your data and view it within Liner, or use pre-labeled datasets available.
- Automatic Model Selection: With the press of a button, Liner automatically chooses an appropriate model and starts training.
- Simple Deployment: Export your trained model to a variety of platforms for easy integration with your applications.
- Multiple Machine Learning Types: Supports various ML types including Image Classification, Text Classification, Audio Classification, Video Classification, Object Detection, Image Segmentation, and Pose Classification.
- State-of-the-Art Models: Utilizes advanced models that are both accurate and fast, with training often completed within minutes.
- CPU Optimization: Models are optimized to train quickly even on standard CPUs, without requiring a GPU.
- Edge Device Compatibility: Trained models can be deployed on mobile and other edge devices.
- Data Privacy: Ensures your data is protected and stays on your local computer, with no cloud involvement.
Liner.ai
Train ML models without coding and export to various platforms
Key Features
Links
Visit Liner.aiProduct Embed
Subscribe to our Newsletter
Get the latest updates directly to your inbox.