Object detection requires more than photographs containing the right things. The project needs a shared definition of each target instance and an annotation policy that can be checked against delivered pixels. Bring example scenes and expected detections to a Fiund sourcing conversation so potential material can be reviewed against the actual task.
Specify the objects and geometry
List target classes and explain how groups, parts, packaging, and nested objects are handled. State whether boxes follow visible extent or estimated complete extent. Define treatment of tiny objects, occlusion, truncation, and uncertain identity. Reference illustrations are especially useful when several interpretations would be reasonable. Keep ignored regions distinct from confirmed negative areas in the annotation plan.
Request the scenes your model will face
Describe clutter, object density, viewing distance, and background variation. Include neighboring objects that should not trigger a detection. Ask how proposed photographs are grouped by source session or physical specimen, and decide which relationships should remain within one evaluation split. A large file count should not obscure repeated views of a small set of subjects. If an image contains no target instances, define how that reviewed state is recorded. Empty annotations should not be indistinguishable from missing or unfinished work in the proposed export.
Validate the proposed handoff
Render sample boxes on the actual exported files, checking orientation and coordinate meaning. Review missed objects separately from inaccurate boundaries and wrong classes. Agree on correction and acceptance procedures before expanding. Availability, annotation feasibility, source documentation, and permitted commercial uses are reviewed for each proposed project; the page does not promise ready-to-download detection inventory.
Include in your inquiry
- Target object list with examples and counterexamples.
- Box conventions and inclusion thresholds.
- Scene density, framing, and variation requirements.
- Sample review criteria and project-specific usage needs.