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Annotation quality sets the ceiling for model quality. We label images against written guidelines, review work in stages, and report disagreements back to you so ambiguous cases are settled once instead of repeatedly.
A short call and a written brief so we agree on the problem, constraints and what done looks like.
A small, real slice of the work to test assumptions before you commit to the full program.
Regular demos or dataset drops, each reviewed against the criteria we agreed.
Documentation, access and training so your team owns the result.
Tell us what you want to build or what data you need. We will reply with questions, not a sales script.