Dashboard
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Task pipeline
Batch progress
Instances by category
Project and batch totals
| Project / batch | Tasks | Results | Instances |
|---|
Prelabeling vs. bare annotation
| Task type | Tasks | Results | Instances |
|---|
First-pass correction signals
Corrections by category
| Category | Removed seed | Added | Relabelled from | Relabelled to |
|---|
Instances by task
Prelabeling vs. bare annotation
| Starting point | Tasks | Submitted | Timed | Avg. first pass | Instances / hr |
|---|
Annotation and QC time by task
Annotation results and efficiency
| Member | Role | Annotated | Assigned WIP | Annotation time | QC time | Avg. task | Instances | Instances / hr | Rework | Current state |
|---|
Measured work by day
| Date | Member | First / last action | Foreground | Idle | First pass | Rework | QC | Browsing / customer review | Effective total | Opened | Modified | Submitted | QC tasks | Pending | Unknown | Coverage |
|---|
Login and logout history
| Member | Login | Last request | Logout / expiry | Status |
|---|
Recent recorded actions
| Time | Actor | Action | Project / batch | Task | Details |
|---|
Create project
Choose folders or individual images. A direct image folder becomes one batch.
Update task prelabels from S3
Attach or update JSON on existing unstarted tasks. To create tasks from new images and JSON, use Add batches.
Find JSON beside existing task images under In/Prelabeled/. New images cannot be created as tasks here; use Add batches for those.
For example: In/Prelabeled/batch/image.png ↔ In/Prelabeled/batch/image.json. Only matching pairs are imported.
S3 data
Review image objects before assigning them to a batch.
| Object | Task | Status | Project | Batch |
|---|---|---|---|---|
| Load S3 data to begin. | ||||
All tasks
Select tasks and assign them in bulk to annotators or QC reviewers.
Create annotation and quality-control accounts for task allocation.
| Username | Role | Created |
|---|
Tasks are assigned by your manager. Complete your assigned work and submit it when ready.