Project Analytics
Track. Optimize. Deliver Better.
Last updated
Track. Optimize. Deliver Better.
Last updated
JTheta.AIβs Project Analytics module gives teams the clarity they need to run successful computer vision workflows β from data annotation to model training. Every insight is built to help teams stay on track and move faster.
Stay informed with live progress updates. Monitor annotation status, task completion, reviewer feedback, and dataset health β all in one view. Our interactive dashboards surface key metrics to help you detect blockers early and improve output quality.
Know whoβs doing what, and when. Assign roles like Annotator or Reviewer, manage multiple datasets, and keep track of project timelines. JTheta.AI makes it easy to coordinate across distributed teams with clear ownership and transparent task tracking.
Accessible via Workspace Settings, this section gives you a high-level overview of resource usage:
Annotation Limit: Track how many annotations have been completed and how many remain within your plan.
AI Assist Requests: View how many AI annotation requests have been used vs. the total available.
Project Count: Monitor the number of active projects running in your workspace.
This helps you stay on top of your team's resource consumption and make decisions around scaling or optimization.
Each project includes a dedicated analytics dashboard to track progress at a more detailed level:
Active Annotators: See how many annotators are currently working on the project.
Project Status Chart: Visual charts show annotation progress β such as total tasks, completed items, and pending reviews.
This view allows project managers and team leads to stay aligned, identify delays, and ensure smooth project delivery.
Ensure you donβt hit annotation or AI usage limits unexpectedly
Quickly assess project health and team load
Make data-informed decisions to improve efficiency
Only Workspace Admins can view workspace-level analytics
Project Leads and Admins can access project-level analytics