What data for this category looks like
Data for image annotation projects primarily comes from image samples uploaded via annotation platforms, annotation results submitted by annotators, preset category dictionaries, and quality inspection reports generated through random checks. Data updates are performed daily or per annotation batch. Daily produced documents include annotation specification documents, bounding box reference examples, quality inspection reports, and rework lists. Data fields include unique image identifiers, pixel-level bounding box coordinates, annotation category names, confidence scores, quality inspection status, and others. Common units are pixels, unitless scores, or status enumeration values.
What constraints these characteristics impose on forms and interactions
Because the data includes pixel-level coordinate fields, an external system must provide precisely adjustable bounding box drawing controls to avoid errors from text input. Since data updates occur daily or per batch, the external system must support bulk import of annotation tasks and bulk submission of results to accommodate frequent iterative requirements. Daily generated rework lists and quality inspection reports require association with status transition fields from the external system, enabling quick switching of interaction logic for annotation, quality inspection, rework, and other stages. The external system must provide a quick access entry for annotation specification documents in forms, ensuring annotators can reference standards at any time.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form input node formInput | Test example: Select 3 fields from image annotation project fields as required inputs; actual fields are determined per task | This node collects user input; missing required inputs must trigger interaction status checks to prevent subsequent nodes from receiving incomplete input |
User selection node userSelect | Test example: Set 2 business options, verify corresponding branches one by one | This node handles user selection; querying and filtering records related to image annotation projects must be implemented by subsequent interfaces or external systems |
| Field passing after submission | Test example: Prepare 10 image annotation project input samples, covering complete filling, missing required inputs, and cancellation operations | Compare input and node output to confirm whether subsequent nodes receive corresponding fields; result thresholds are determined per actual task |
| External implementation item: Bounding box input control | Must be implemented separately by the external system; provided by the external system, supports pixel-level drag-and-drop adjustment, and allows manual coordinate input | Adapts to pixel-level data fields for image annotation, matching the unit requirements of business data |
| External implementation item: Bulk submission limit | Must be implemented separately by the external system; defined by the external system/subsequent nodes, test example value: 50–100 items per submission | Adapts to daily or per-batch data update frequencies, avoiding excessive load from single submissions |
| External implementation item: Image upload limit | Must be implemented separately by the external system; defined by the external system/subsequent nodes, test example value: 2–10 MB per image, 10–20 images per upload | Adapts to the data size characteristics of image samples, aligning with daily upload scenarios |
Three Common Misconfigurations
- Calling an external script to convert images to base64 results in no return value, and the interface displays a timeout. Cause: External system/subsequent node external interface trigger configuration is not set, and port open range does not cover the target access address.
- Fields are empty after submitting bounding box coordinates, making it impossible to save annotation results. Cause: Bounding box coordinate format verification logic for the external system/subsequent nodes is not configured, and input pixel coordinates are not filled in the required numerical format.
- Selecting an annotation category fails to synchronously update the quality inspection status. Cause: Linkage logic between category selection and quality inspection status fields for the external system/subsequent nodes is not configured, and category selection is not associated with the quality inspection status field.
How to Confirm Proper Configuration
- Upload a test image, verify that the bounding box control provided by the external system can be normally dragged and adjusted, and displays corresponding pixel coordinates.
- Submit a bulk test task, confirm that the submission quantity of the external system/subsequent nodes meets the preset limit requirements and no abnormal errors occur.
- Select a preset annotation category, verify that the quality inspection status field of the external system/subsequent nodes can synchronously update along with the category selection.
- Call the configured external script interface, confirm that images converted to base64 encoding can return normal results.
The values provided here are common starting points and should be measured against the reader's own samples.
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.