What data for this category looks like
The data for this category primarily comes from image samples stored on annotation platforms, category dictionaries, bounding box examples generated during annotation, quality inspection reports, and rework lists. Data updates typically occur daily or per annotation batch. A single data entry includes fields such as bounding box coordinates for visual targets, category labels, identifiers of annotation and quality inspection personnel, and sampling inspection results. Daily-used documents include unified annotation specifications and reference example files, used to align annotation standards and rework requirements.
What constraints do these characteristics impose on the citation and traceability process
Visual data and document features of image annotation projects impose multiple constraints on the citation and traceability process. First, image samples and bounding box examples require precise visual content matching. Traceability cannot rely solely on text keyword searches. It must simultaneously link image IDs and annotation batch information. Second, data updated per batch requires binding matching batch annotation specifications and quality inspection results during traceability. This prevents invalid citations across batches. Additionally, rework lists and quality inspection reports contain many status identifier fields. Full field retention is required during traceability. This ensures AI responses can match specific rework judgment bases. It also supports traceability of annotation quality.
Configuration guidelines
This page is compatible with FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
quoteMaxToken | 800–1200 characters | Matches the single-entry content length of image annotation documents and data, to avoid truncation of critical bounding box coordinates and category information |
responseData | Return only associated document IDs and original links | Adapts to annotation teams’ need to quickly jump to original annotation records, avoiding interference from redundant content |
detail | high | Retains full fields of annotation data, ensuring access to key information such as bounding box coordinates and sampling inspection results during traceability |
| Single search limit | Top 3 entries | Limits the number of returned annotation batch documents, to avoid excessive data exceeding the context window |
| Context window threshold | 4000 characters | Adapts to the field length of image annotation data, ensuring all associated information can be fully passed to the large model |
Three common misconfigurations
- Symptom: The AI response does not display links to original annotation documents, only text summaries. Cause: The
responseDataparameter is not configured correctly, and the original link return function is not enabled. - Symptom: Search results include annotation data from across batches, leading to incorrect citation of annotation specifications. Cause: Annotation batch IDs are not bound as search filter conditions, and the batch range for single searches is not restricted.
- Symptom: Critical visual information such as bounding box coordinates is truncated in the AI response. Cause: The
quoteMaxTokenvalue is too small to accommodate full annotation data fields.
How to confirm proper configuration
- Submit a test query containing bounding box coordinate keywords, and verify whether the AI response returns the original link of the corresponding document.
- Submit a test request for a specified annotation batch, and confirm that search results only include annotation specifications and quality inspection reports for that batch.
- Review large model context window logs, and confirm that annotation data fields are not truncated.
- Adjust configuration items, repeat test queries, and verify field completeness and link accuracy of returned results.
Note: The configuration values listed above are common starting points. They should be evaluated against the samples associated with the actual use case.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.