Classify, labelize, and annotate measures
t6 team unveil data classification module on the Api. This new process provides annotation on any datapoints and/or range of datapoints with ease. Annotation on t6 is the process of classifying datapoints - with a customizable category.
The following 2 modes are available:
- Hand labeling for a strong and accurate supervision;
- Programmatic labeling for a weak supervision. This automatic process is using the t6 Rules, and so, it can combine multiple criteria before annotating to the correct category.
Categories for labeling
Labelisation on the t6 implement custom categories (tags). t6 Users can customize several categories on their account. e.g.: Say that you are measuring a speed (m/s) on a specific t6 Flow; on each datapoints added, a rule can trigger an annotation (using categories “slow”, “fast”) and using the speed as criteria and that can label this datapoint.
This process using Rules is weak as it involve a programmatic pattern to identify the category.
An alternative process - hand-annotation can be used to associate categories to datapoints. This association can use a single datapoint or a range of dates.
Data Annotation documentation
Gentle reminder and in case you did not submitted yet your feedbacks on Data Fusion, this little survey will only take 3 minutes and few answers to fill in - you are very welcomed to submit it :
Survey about Sensor Data fusion
We hope t6 fits your needs as we’ll keep improving the product regularly :-)
Thank you, and see you soon on t6.