The quality of training data directly defines how well your AI performs. No shortcuts, no guesswork. I deliver datasets that are effective, clean, accurate, precise, and reliable, with strict attention to edge cases where most models fail.
With 5+ years of hands-on experience, I specialize in high-precision annotation and labeling for machine learning, computer vision, and AI systems. I’ve consistently delivered high-quality datasets across diverse domains where accuracy is not optional, it is critical.
If you are building serious AI systems and need production-ready data you can trust, I can help you get there. Let’s build it right the first time.
What I deliver:
- Image annotation
bounding boxes, polygon segmentation, semantic & instance segmentation, key-point labeling;
- Video annotation
object tracking, frame-by-frame labeling;
- Quality assurance
reviewing and correcting annotation batches for consistency and accuracy;
-Data formats
COCO JSON, YOLO, Pascal VOC, CSV exports;
I have experience working with the following tools for data annotation and labeling:
• VoTT (Visual Object Tagging Tool);
• CVAT (Computer Vision Annotation Tool);
• LabelMe;
• Labelbox;
• LabelImg;
• Supervisely;
• Scale AI;
and other web-based labeling tools.
To your wins!
Kim
