Image Annotation Quality Assessment Checklist
Use this form to review image annotation work and record quality findings, issues, and final decisions.
Review Context
Reviewer Name or ID
*
Review Date
*
-
Month
-
Day
Year
Date
Project or Task Name
*
Image or Batch ID
*
Annotation Type Being Reviewed
*
Bounding Boxes
Segmentation Masks
Keypoints
Classification Labels
OCR/Transcription
Other
Dataset or Source Name
Quality Assessment Criteria
Correctness
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Completeness
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Boundary Accuracy
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Placement Accuracy
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Label Consistency
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Class Appropriateness
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Adherence to Guidelines
*
Poor
1
2
3
4
Excellent
5
1 is Poor, 5 is Excellent
Image Annotation Quality Ratings
*
Rows
1 - Poor
2
3
4
5 - Excellent
Correctness
1
2
3
4
5
Completeness
6
7
8
9
10
Boundary Accuracy
11
12
13
14
15
Placement Accuracy
16
17
18
19
20
Label Consistency
21
22
23
24
25
Class Appropriateness
26
27
28
29
30
Adherence to Guidelines
31
32
33
34
35
Object Coverage
36
37
38
39
40
Overall Usability
41
42
43
44
45
Error and Issue Review
Issue Types Found
*
Missing annotation
Extra annotation
Mislabeled object
Inaccurate boundary
Inconsistent label
Overlapping annotation
OCR/transcription error
Keypoint placement error
Other
Issue Summary
*
Meet Acceptance Threshold?
*
Yes
No
Corrective Action Recommendations / Comments
Final Decision and Notes
Final assessment outcome
*
Approved
Approved with minor revisions
Needs rework
Rejected
Overall quality rating
*
1
2
3
4
5
Final notes / comments
Follow-up action
Please Select
Return to annotator
Escalate to QA lead
Accept into dataset
Archive for reference
Submit Assessment
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