Who it is built for
- People without machine learning coding experience
- Developers who need an exportable trained model
- Teams training models from their own labeled data
Train and export machine learning models without code
Liner is a desktop tool for training machine learning models from labeled data without writing code. It supports image, text, audio, video, object-detection, segmentation, and pose-classification projects, then exports trained models for integration with applications and supported edge platforms.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Liner imports training data, automatically selects an appropriate model, and trains it without requiring code.
The tool provides templates for image, text, audio, video, object-detection, segmentation, and pose-classification projects.
Training happens on the user's computer, and Liner states that data is not sent to the cloud.
Choose a project type and import labeled training data or a pre-labeled dataset. Liner automatically selects and trains a model on the local computer. Export the trained model for a supported platform and integrate it into an application.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.