Computer Vision Annotation
Bounding boxes, polygons, image classification, segmentation, keypoints, and video frame annotation for visual AI projects.
AI Data Annotation Services
Human-Reviewed Data Annotation for AI Teams
Drofman Consulting helps AI startups, technology companies, and research teams build cleaner training datasets through trained human annotators, structured QA, and practical annotation workflows.
Human QAReview Ready
Trained
Annotation Team
Human
QA Review
Tool-Based
Workflow
Export-Ready
Dataset Delivery
COCOYOLOPascal VOCCSVJSON
AI Data Annotation Services
Human-in-the-loop annotation and dataset quality support for AI teams that need reliable training data.
Text & NLP Annotation
Text classification, entity extraction, sentiment labeling, intent tagging, and document categorization.
Audio Annotation
Audio transcription support, speaker labeling, audio segmentation, intent tagging, and quality review.
Dataset Cleaning & Validation
Duplicate checks, missing label review, format correction, label consistency checks, and export preparation.
Human-in-the-loop QA
From Raw Data to Model-Ready Datasets
A structured process for reviewing data, setting guidelines, training annotators, checking quality, and preparing exports.
01
Dataset Review
We review your dataset, model goal, annotation type, timeline, and expected output format.
02
Guideline Setup
We define labels, examples, edge cases, and annotation instructions.
03
Annotator Training
Assigned annotators are trained on project-specific labeling rules before production begins.
04
QA Review
Supervisors check labels, flag errors, request corrections, and validate consistency.
05
Export & Delivery
We deliver the final dataset in the required format for your AI workflow.
Why AI Teams Work With Drofman
Trained Human Annotators
Our annotators are trained through practical annotation tasks, review sessions, and feedback cycles.
Quality-First Workflow
Review, correction, and validation are part of the annotation process, not an afterthought.
Startup-Friendly Pilots
Start with a small dataset, review quality, refine instructions, and scale when ready.
AI Use Cases We Support
Healthcare
AgTech
AV
Retail
Industrial
FinTech
Sample Annotation Work
See examples of annotation tasks our team trains on and supports across computer vision, dataset QA, and validation workflows.
Sample Type
Polygons
Review Focus
Ripeness
Ready to Build Better Training Data?
Send us your dataset requirements and our team will recommend the right annotation workflow, QA process, and delivery format.