Liner AI is a no-code, end-to-end platform for training machine learning models rapidly and easily, designed for users without expertise in machine learning. It enables users to import their data, have the tool automatically select and train models, and then export trained models for integration into various applications and platforms. Liner supports a variety of ML tasks including image classification, text classification, sound classification, object detection, pixel segmentation, pose classification, and more. The platform optimizes models for fast training, even on CPUs, making it suitable for mobile and edge device deployment.
Key Features:
Simplifies ML training into three steps: data import, automatic model training, and export for integration.
Supports diverse use cases including classification of images, texts, sounds, videos, object detection, and segmentation.
Fast model training optimized for CPU usage, with most models training within minutes.
Exports trained models compatible with multiple platforms, suitable for mobile and edge deployment.
Available for Windows and Mac, free to use with robust capabilities.
Use Cases:
Developers and businesses wanting to build ML applications without coding expertise.
Training ML models for tasks like image, sound, and text classification quickly.
Deploying AI-powered features on mobile or edge devices with optimized models.