Projects¶
In Tensoract Studio, a Project serves as a container where items from one or more datasets can be assigned as tasks for annotators to work on. The end result is a collection of labeled items that can be utilized for training machine learning models. To access Projects, select Projects option from the left-side navigation pane.
Project Types¶
Tensoract Studio provides several project types, each tailored to specific use cases. To learn more about creating new projects and the associated settings, refer to the details of each project type below:
Project Dashboard¶
The Project Dashboard provides valuable metrics including Quality Metrics, Annotator/QC Throughout, and more within the context of the project. To access the Project Dashboard, simply click on the Show Dashboard` button.
Task States & Label Distribution¶
The task state pie-chart illustrates the distribution of tasks by their respective states within the project. On the other hand, the Label distribution provides a breakdown of annotations within the project tasks.
Annotator Throughput & QC Throughput¶
This dashboard offers insights into the throughput of annotators and QC personnel who collaborate within the project.
Quality Metrics¶
In NER projects, once a task is approved, the quality metrics dashboard will be populated with various score parameters including Precision, Recall, F1 Score, and Coheren’s kappa score. These metrics provide an assessment of the quality and performance of the NER annotations.
