High-Precision Image Annotation & AI Training Data Support
Project Description:
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.