What AI photo culling should do
AI should help organise large shoots, surface likely stronger frames and reduce repeated comparison work. It should not permanently reject photographs or replace the photographer's intent.
How SelectB uses recommendations
- Detect subjects and identify related bursts.
- Assess technical and compositional signals.
- Recommend candidates for Selected, Review or Rejected states.
- Allow ratings and decisions to be changed at any time.
- Export the photographer's final choices.
Why wildlife requires more than generic quality scoring
A technically imperfect frame can still be the most important photograph in a sequence. Wildlife behaviour, eye contact, wing position and subject visibility matter. SelectB therefore treats AI output as evidence for review, not a substitute for judgement.
Local-first workflow
SelectB is designed as a desktop application. Images remain under the photographer's control, and contribution to future training is opt-in.