Sama review for computer-vision labeling and model evaluation

Sama markets data annotation services, with documentation for video annotation and separate offerings for generative AI training and validation. It is relevant when a buyer needs a repeatable process for turning assets into checked labels. Decide up front whether the scope includes sourcing footage or starts from buyer-supplied material. Sama video annotation · Sama generative AI services

Check difficult sequences in a short pilot

Provide a video clip with a temporary obstruction, a camera cut and two similar objects. Ask how annotators preserve or reassign object identities, how disagreements are reviewed, and what export includes timecodes and corrections. Review errors around the transition frames. Score the part of the task that matters to the model rather than total labels delivered.

Confirm the rights to label and reuse

Give reviewers access only to the required files and time ranges. Agree which data can be retained, who owns the annotations and how work is returned or removed. A service statement can describe a QA process. Acceptance thresholds, remedies and a quote belong in the project terms. Sama quality information

An original identity-through-occlusion pilot

Supply a permitted practice video with two similar objects, a short obstruction and a camera cut. Ask reviewers to preserve an object identity only when the source supports the link. In a separate ambiguous example, the expected result should explicitly retain uncertainty rather than invent a continuous track.

Review the transition frames and distinguish a timing error, an identity swap and a disputed annotation rule. Keep original judgments, corrections and the accepted rubric connected. A high total label count does not establish performance on the rare transition that matters to the buyer.

Make the responsibility boundary visible

State whether the buyer supplies cleared footage or needs sourcing as part of the engagement. Identify who writes the rubric, sets reviewer access, checks a holdout, adjudicates disputes and accepts the delivery. Ask whether these are included in the managed service or separately scoped work.

Confirm ownership and allowed reuse of both source assets and annotations. Limit reviewers to the relevant files and ranges, and agree retention and return procedures. A published quality process is useful context; the acceptance criteria, remedy and permitted use for the actual project belong in the written scope. No private Sama delivery is scored in this review.