AI Image Annotation for Object Detection Models
ImageBounding Box
Worked on a large-scale image annotation project focused on training object detection models. Annotated over 10,000 images using bounding boxes to identify objects such as vehicles, pedestrians, and traffic signs.
Ensured high-quality annotations by following strict labeling guidelines and performing regular quality checks. Maintained consistency across datasets and collaborated with team members to resolve ambiguities in labeling.
Used annotation tools like CVAT/LabelImg and followed QA processes including peer review and accuracy validation. Achieved over 95% annotation accuracy and contributed to improving model performance.
Worked on a large-scale image annotation project focused on training object detection models. Annotated over 10,000 images using bounding boxes to identify objects such as vehicles, pedestrians, and traffic signs. Ensured high-quality annotations by following strict labeling guidelines and performing regular quality checks. Maintained consistency across datasets and collaborated with team members to resolve ambiguities in labeling. Used annotation tools like CVAT/LabelImg and followed QA processes including peer review and accuracy validation. Achieved over 95% annotation accuracy and contributed to improving model performance.
2025 - Present