Create a project
Create a project for a specific organization.
Request body
Enable annotator evaluation for the project
Dict of weights for each control tag in metric calculation. Keys are control tag names from the labeling config. At least one tag must have a non-zero overall weight.
Description (Public)
Allow annotators to submit empty annotations
Retrieve and display predictions when loading a task
Labeling instructions in HTML format
Whether or not the project is in the middle of being created
Whether or not the project is published to annotators
Label config in XML format. See more about it in documentation
Maximum number of annotations for one task. If the number of annotations per task is equal or greater to this value, the task is completed (is_labeled=True)
Minimum number of completed tasks after which model training is started
Machine learning model version
Pinned date and time
Reveal pre-annotations interactively
- Sequential sampling - Tasks are ordered by Data manager ordering
- Uniform sampling - Tasks are chosen randomly
- Uncertainty sampling - Tasks are chosen according to model uncertainty scores (active learning mode)
Show annotation history to annotator
If set, the annotator can view model predictions
Onboarding mode (true): show ground truth tasks first in the labeling stream
Show instructions to the annotator before they start
Show a skip button in interface and allow annotators to skip the task
- REQUEUE_FOR_ME - Requeue for me
- REQUEUE_FOR_OTHERS - Requeue for others
- IGNORE_SKIPPED - Ignore skipped
Stable version ID of the saved interface used to create this project.
Task data credentials: login
Task data credentials: password
Project Title
In Workspace
Response
Enable annotator evaluation for the project
Flag to detect is project ready for labeling
Flag to detect is project ready for bulk annotation
Dict of weights for each control tag in metric calculation. Keys are control tag names from the labeling config. At least one tag must have a non-zero overall weight.
Description (Public)
Allow annotators to submit empty annotations
Retrieve and display predictions when loading a task
Labeling instructions in HTML format
Finished tasks
Honeypot annotation number in project
Whether or not the project is in the middle of being created
Whether or not the project is published to annotators
Label config in XML format. See more about it in documentation
Maximum number of annotations for one task. If the number of annotations per task is equal or greater to this value, the task is completed (is_labeled=True)
Minimum number of completed tasks after which model training is started
Machine learning model version
Tasks with annotations count
JSON-formatted labeling configuration
Pinned date and time
Reveal pre-annotations interactively
- Sequential sampling - Tasks are ordered by Data manager ordering
- Uniform sampling - Tasks are chosen randomly
- Uncertainty sampling - Tasks are chosen according to model uncertainty scores (active learning mode)
Show annotation history to annotator
If set, the annotator can view model predictions
Onboarding mode (true): show ground truth tasks first in the labeling stream
Show instructions to the annotator before they start
Show a skip button in interface and allow annotators to skip the task
- REQUEUE_FOR_ME - Requeue for me
- REQUEUE_FOR_OTHERS - Requeue for others
- IGNORE_SKIPPED - Ignore skipped
Skipped by collaborators annotation number in project
Stable version ID of the saved interface used to create this project.
Start model training after any annotations are submitted or updated
Task data credentials: login
Task data credentials: password
Total task number in project
Project Title
Total annotations number in project including skipped_annotations_number and ground_truth_number.
Total predictions number in project including skipped_annotations_number, ground_truth_number, and useful_annotation_number.
Useful annotation number in project not including skipped_annotations_number and ground_truth_number. Total annotations = annotation_number + skipped_annotations_number + ground_truth_number
In Workspace