Begin with the movement
Describe the motions and events your model must distinguish. A slow conversation and a rapid manipulation sequence create different temporal requirements. Request representative footage showing the fastest relevant behavior and the smallest meaningful transition. A large frame-rate number alone does not establish that the underlying source captured the motion with useful detail or that individual frames are sharp enough.
Separate capture and export
Ask for captured frame rate where known and the timing properties of delivered files. Exporting additional frames does not automatically add newly observed moments. Record conversions, repeated frames, speed changes, and any uncertainty in the source history. Mixed archives should report these differences rather than place every file under a single marketing description that hides how the footage was prepared.
Bind labels to a time reference
Choose timestamps or frame references deliberately and document their relationship to the delivered asset. Variable timing, trimming, and conversion can complicate an assumed frame-to-time mapping. Test seeking and annotation rendering on representative files using the intended import path. Keep original identifiers and offsets when clips are derived so later corrections can identify the exact version a label describes.
Review useful detail in practice
Inspect moving objects for blur, missing moments, and repeated images, then decide whether those conditions undermine the actual task. Define acceptance and exception handling with pilot examples rather than borrowing a threshold from an unrelated application. Fiund can evaluate sourcing options against the agreed brief, while availability, source documentation, and commercial use remain specific to the proposed material.
Review checklist
- Describe the fastest task-relevant motion.
- Record source and delivered timing separately.
- Verify annotation references after conversion.
- Judge temporal detail with representative playback.
