Writing-on-Flag Design Detector
Audit Writing-on-Flag Design Detectorvisual-feature annotations, not an image detector, official family membership or geographic/political identification. Feature columns, independently annotated in order: independently identified writing, writing actually depicted within field. Unknown evidence and compatible classes retained; not automated semantic, historical, identity, legal or safety determination.
Description
Writing on a flag is a visual feature that must first be identified and located within the field.
Writing on a flag is a visual feature that must first be identified and located within the field.1
This checker records whether those two annotations support the fixed writing-pattern candidate.
When to use Writing-on-Flag Design Detector
Use this tool when you need to review independently annotated design features against a fixed pattern. Establish the flag dimensions, orientation, specification, palette, or visual annotations needed for this particular calculation.
How to use Writing-on-Flag Design Detector and understand its results
- Establish the flag dimensions, orientation, specification, palette, or visual annotations needed for this particular calculation.
- Enter observedFeatureFlags, featureKnownFlags, following the field table and rules below, then run the tool.
- Read result. Use the output meanings below to interpret units, signs, flags, and any nested result fields.
- Correct reported input issues and run again. For a successful result, check the stated evidence coverage and assumptions before using it in your review.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedFeatureFlags | Observed feature flags | list of number | Required |
| featureKnownFlags | Feature known flags | list of number | Required |
Enter binary observed-feature and feature-known lists in the fixed column order listed below. Their length must match the fixed rules. Known mismatches exclude a candidate; unknown columns leave it compatible. A candidate is witnessed only when every required column is known and matches. Ignored columns do not require evidence. Return compatible classes, witnessed classes, and zero-based unknown-feature indices. This consumes annotations, not pixels.
compatible_c=∀j(rule_cj=−1 or known_j=0 or feature_j=rule_cj); witnessed_c=∀j(rule_cj=−1 or (known_j=1 and feature_j=rule_cj)) Symbols follow the input and output meanings and the calculation rules above.
Fixed feature-column order: independently identified writing, writing actually depicted within field.
| Output field | Meaning | Value type |
|---|---|---|
| result | Calculated observation or reference | object |
| result.compatibleClasses | Compatible Classes | list |
| result.witnessedClasses | Witnessed Classes | list |
| result.unknownFeatureIndices | Unknown Feature Indices | list |
{
"input": {
"observedFeatureFlags": [
1,
1
],
"featureKnownFlags": [
1,
1
]
},
"output": {
"result": {
"compatibleClasses": [
"caller-witnessed-pattern-candidate"
],
"witnessedClasses": [
"caller-witnessed-pattern-candidate"
],
"unknownFeatureIndices": []
}
}
}Limitations and assumptions
Annotations must be independently established. Candidate labels describe only the fixed tested features; they are not country identification, official membership, or an image-recognition result.
Missing required fields, unknown fields, wrong types, and violated calculation rules are input issues. Numeric values must be finite; nonfinite results are rejected. Evidence arrays must be dense, with no missing cells. Numeric observation lists allow at most 10,000 entries, subject to any smaller bounds stated above. Extremely large composite outputs are rejected.
Alternative or Complementary methods
For a related review, use No-Letter Rule Violation Checker: A no-lettering preference concerns whether independently identified letters occur in a design. This tool converts your observed letter count into a presence flag. For a complementary step, use Map-on-Flag Design Detector: A map-on-flag pattern requires an independently identified geographic map located within the field. This checker evaluates those annotations without performing image recognition.
References
-
Writing-on-Flag Design Detector — tool.io
Similar or alternative tools
- No-Letter Rule Violation Checker
A no-lettering preference concerns whether independently identified letters occur in a design. This tool converts your observed letter count into a presence flag.
- Map-on-Flag Design Detector
A map-on-flag pattern requires an independently identified geographic map located within the field. This checker evaluates those annotations without performing image recognition.