Machine Vision & Industrial Inspection AI worked example
Annotation Workload at 23% rework and qa review allowance: a worked example
Push rework and qa review allowance up to 23% and the picture changes. This example computes every intermediate figure at that operating point. Use it when planning an AI inspection project and you need to size the annotation effort before assigning annotators or budgeting for an annotation service.
The inputs for this scenario
- Total images to annotate: 5,000 images (unchanged)
- Annotation throughput: 40 images / hr (unchanged)
- Rework and QA review allowance: 23 % (raised for this scenario; the documented default is 20)
Working through the calculation
- Applying the documented formula (Base annotation time = total images / annotation throughput) to the inputs above produces each figure below.
- At this operating point the engine returns 154 hr for total annotation hours including rework, the number this scenario is built around.
- At this operating point the engine returns 125 hr for base annotation hours.
- At this operating point the engine returns 23 % for rework and qa allowance added.
- At this operating point the engine returns 40 pieces / min for annotation throughput.
How this compares with the baseline
- Against the tool's baseline example, where rework and qa review allowance sits at 20% and the headline result is 150 hr, this scenario comes in 2.5% above the baseline at 154 hr.
- It computes total annotation hours by dividing images by labeling throughput and adding a rework and QA review allowance. The value of this scenario is the size of the gap it exposes: that gap, priced out over a year, is the budget you can justify spending to close it.
Results at a glance
- Total annotation hours including rework: 154 hr (headline result)
- Base annotation hours: 125 hr
- Rework and QA allowance added: 23 %
- Annotation throughput: 40 pieces / min
Run it with your numbers
- Every input above is editable in the live Annotation Workload calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.