01
Dataset Review
We review your dataset, model goal, annotation type, timeline, and expected output format.
How it works
A Structured Workflow for Better AI Training Data
Drofman Consulting turns raw datasets into model-ready training data through clear guidelines, trained annotators, human QA, and export-ready delivery.
02
Guideline Setup
We define labels, examples, edge cases, and annotation instructions before production begins.
03
Annotator Training
Assigned annotators are trained on project-specific labeling rules and sample tasks.
04
Annotation Production
The dataset is labeled using approved tools such as CVAT, Label Studio, or client-provided platforms.
05
QA Review
Supervisors check labels, flag errors, request corrections, and validate consistency.
06
Export & Delivery
We deliver final data in the required format for your AI workflow, such as COCO, YOLO, CSV, or JSON.
Ready to Review Your Dataset?
Share your dataset type, annotation needs, timeline, and preferred output format. We'll recommend the right workflow.
Request Dataset Review