Hi! I’m Antor — a Data Annotation Specialist with a trained in-house team.
We help AI/ML companies prepare high-quality image datasets with 99%+ accuracy using a structured multi-step QC workflow.
What We Offer
Bounding Box Annotation
Polygon / Polyline Annotation
Semantic & Instance Segmentation
Keypoint / Landmark Annotation
Image Classification
Dataset cleanup, re-labeling & correction
Multi-step QC (Quality Check)
Folder structure / naming consistency
YOLO, COCO, VOC format export
Custom tool-based annotation (Client tools supported)
Why Clients Choose Us
Trained in-house team available for large-scale projects
Fast delivery — thousands of images per day
High accuracy with multi-layer QC
Strict guideline following
Tools: CVAT, Supervisely, Labelbox, Roboflow
Secure & confidential workflow
On-time delivery, flexible communication
Tools We Use
Deliverables You Will Get
Clean, organized dataset
YOLO / COCO / VOC / JSON outputs
QC-approved labels
Consistent naming + folder structure
Need a long-term annotation partner?
We support ongoing monthly dataset labeling, team scaling, and continuous QC support.
Let’s start your test batch.