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I want to obtain high-quality labels for shelf photos while keeping annotation costs down. Which strategy is most appropriate?
①Outsource the labeling and apply all labels manually.
②In active learning, only samples that the model is uncertain about are labeled manually.
③Train solely on synthetic images and skip annotating real data.
④Use the existing pretrained detector as-is; no additional labels are required.
⑤Automate label generation using reinforcement learning.