Killian Mungai

Key Skills

Software

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Segmentation

Classification

Freelancer Overview

I am a detail-oriented AI data labeling and annotation specialist with over five years of hands-on experience in preparing high-quality computer vision training data, particularly for architectural floor plans. My expertise includes polygon and semantic segmentation labeling, room classification, and occupancy tagging, with a strong ability to interpret complex architectural drawings and technical layouts. I have successfully contributed to long-term AI training projects, ensuring consistent, accurate annotations using tools like Roboflow, Labelbox, and CVAT. I am dedicated to maintaining high standards of quality through thorough verification, peer review, and adherence to detailed guidelines, and I thrive in remote, collaborative environments with global teams.

Labeling Experience

image Data Kabeling Project

LabelboxImageBounding BoxSegmentation

I worked on image data labeling tasks used to train computer vision models. My work involved drawing bounding boxes, classifying images, and segmenting objects such as vehicles, people, and road signs. I followed detailed project guidelines and focused on accuracy and consistency. I also reviewed feedback to improve quality and meet project standards.

I worked on image data labeling tasks used to train computer vision models. My work involved drawing bounding boxes, classifying images, and segmenting objects such as vehicles, people, and road signs. I followed detailed project guidelines and focused on accuracy and consistency. I also reviewed feedback to improve quality and meet project standards.

2024

Education

Work History