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Labeling capabilities

Motion and activity, tracked across frames.

Only capabilities Ayta can currently deliver or is genuinely prepared to pilot are listed below.

Object tracking

Objects labeled and followed consistently across frames as they move through a scene.

Frame-level annotation

Individual frames labeled to spec where per-frame precision matters more than continuous tracking.

Activity recognition

Actions and activities labeled across a clip's duration, not just a single frame.

Video classification

Whole clips tagged against your category set for training and filtering pipelines.

Need the source footage collected first? See Video Data Collection.

How it runs

From guidelines to a labeled dataset.

Every annotation program follows the same operating sequence.

Step 01

Guideline intake

Your taxonomy, edge cases, and labeling rules are built into the task design before annotation starts.

Step 02

Annotator training

Annotators are trained and qualification-tested against your specific guidelines, not a generic label set.

Step 03

Labeling

Footage is labeled to spec — tracking, frame-level annotation, or classification, depending on your task.

Step 04

QA & calibration

Second-pass review, inter-annotator agreement checks, and dispute resolution run on every batch.

Step 05

Delivery

Labeled data packaged and delivered in the format your training pipeline expects.

Have a data requirement?

Give us the specification — we'll build the operation around it.

Start a Pilot →