Resource guide
Specify negative examples for visual recognition
Define what a model should reject and how to distinguish negatives from unlabeled positives.
← Photo Datasets
Fiund / Quality & provenance
Keep the source, signal, and review connected.
A useful photo datasets collection needs traceable context as well as usable files. Define what will be checked, how findings will be recorded, and which questions remain open.
Technical criteria
Category-specific acceptance starts here.
Coverage plan
Class list, counts per class, environments, geographic scope, and real versus synthetic requirements.
Image properties
Dimensions, orientation, file format, compression tolerance, and whether originals are required.
Annotation rules
Label taxonomy, box or mask conventions, ambiguous cases, and quality-review criteria.
Source relationships
Burst sequences, near duplicates, photographer groups, and separation of evaluation examples.
Review framework
Four separate questions for each collection.
| Review layer | What to establish | Evidence to request |
|---|---|---|
| Source lineage | Where this exact file or record came from and how it relates to other versions. | Stable identifiers, source references, and derivative relationships. |
| Technical fit | Whether the recorded fields and signal support the defined model task. | A representative inspection, file-level metadata, and issue records. |
| Annotation fit | Whether labels have the required meaning, timing, and consistency. | Written conventions, reviewed examples, and known limitations. |
| Permission scope | Whether the proposed use has been reviewed for the selected material. | Project-specific source documentation and agreed terms. |
Illustrative manifest
A manifest should describe the state of review.
Example structure only. These values do not describe an available collection or a completed permission review.
{
"record_id": "illustrative-record-001",
"source_reference": "to-be-established",
"category": "Photo Datasets",
"specification_fields": [
"Coverage plan",
"Image properties",
"Annotation rules",
"Source relationships"
],
"permission_review": "requires_project_review",
"technical_review": "not_yet_reviewed",
"accepted_exceptions": []
}Further reading
Read before choosing your acceptance criteria.
Resource guide
Collect hard visual examples without losing representativeness
Turn observed errors into a targeted photo acquisition brief with reviewable coverage.
Resource guide
Describe geographic coverage without overclaiming representation
Specify locations, environmental features, and reporting limits for a photo sourcing project.