- Import & Export
- Data Management
- Labeling Interface
- Labeling Configuration
- Machine Learning
- Verify and Monitor Quality
- Machine Learning Backends
- User Accounts
- Guide for Annotators
- Activity Log
- Embed Annotation
- On-Premise Setup
- On-Premise Usage
Heartex is a collaborative labeling, annotation and data exploration platform for machine learning. It’s designed with simplicity in mind and is adaptable for different ML needs. It works with different data types, mobile-friendly, and provides world-class support for controlling the quality of the results.
See more about key terms in the vocabulary.
Here you can see relations among labeling objects: tasks, completions, results, predictions.
One user provides one completion, it’s atomic, and it consists of the result items. Result items can have relations between themselves with the specified direction of three types: left-right, right-left, or bidirectional. Normalizations are additional information in the custom string format about the current result item.
Completions and Predictions are very similar. But predictions must be generated automatically by ML models.
If you need more information, please email us at firstname.lastname@example.org.
Heartex API could be found here.
To access API you need to get token in your account page