High-Precision Image Annotation & AI Training Data Support

We supported a U.S.-based AI company by delivering high-accuracy image annotation services to help train their computer vision models. The scope involved working with large batches of visual data that required detailed labeling for machine learning purposes.

Key highlights of the project:

Annotated thousands of images using bounding boxes, polygons, and segmentation tools

Labeled multiple object types per image for classification and detection tasks

Maintained strict accuracy standards through multi-layer quality checks

Used annotation platforms such as Labelbox, SuperAnnotate, and custom tools

Delivered well-structured datasets ready for model training and testing

Our team ensured consistent output, handled edge cases with precision, and scaled rapidly as the dataset grew. We also provided feedback loops based on model performance to improve annotation quality over time.

If you're building or refining a vision-based AI product, our annotation team ensures your training data is clean, consistent, and optimized for learning.