Liner is a free machine learning training and deployment tool that focuses on enabling users to quickly build machine learning applications without coding or machine learning expertise. Its official website is https://liner.ai/。
Purpose Liner is used to train machine learning models end to end and integrate the trained models into applications. It is aimed at users without a machine learning background and lowers the barrier to model training through automated processes.
Main capabilities
- No-code training: after importing training data, it can automatically select an appropriate model and complete training with one click, without writing code.
- Project templates: it provides a variety of ready-to-use machine learning types, including image classification, text classification, audio classification, video classification, object detection, image segmentation, and pose classification. Users only need to choose a type and add data to start training.
- Data import and preview: it supports importing and viewing data in Liner, and pre-annotated datasets can also be used.
- Model export and deployment: after training is complete, models can be exported to multiple platforms for easy integration into applications; trained models can be used on mobile or edge devices.
- Speed and accuracy optimization: it uses advanced models, balancing accuracy and training speed, and in most cases models can be trained within minutes.
- No GPU required: models are optimized and can also be trained quickly on CPU.
- Platform support: Liner can run on Windows and Mac.
- Data protection: data is always protected and does not leave the user's computer.
- Other features: the official website mentions unlimited projects, team management, and community support, where users can provide feedback on features they hope to see added.
How to use According to the official website, the training process is divided into three steps: first import data and view it in Liner, or use a pre-annotated dataset; then press a button, and Liner will automatically select an appropriate model and train it; finally export the model to multiple platforms and integrate it into an application. The official website states that the entire process requires no coding.
Use cases It is suitable for users who need to quickly train and deploy machine learning models but lack coding or machine learning expertise, and can be used to build applications such as image classification, text classification, audio classification, video classification, object detection, image segmentation, and pose classification. The prerequisite given by the official website is: only some training data is needed.
Limitations and other information The official website does not provide details such as specific pricing plans, prices, model accuracy metrics, a specific list of supported export platforms, upper limits on training data size, or minimum system requirements. This information is not currently available. The official website clearly states that Liner is completely free to use and supports Windows and Mac.
Category: ai-programming-tools (AI programming tools).
