Chukwuemeka Ubani

Key Skills

Software

Labelbox

Supervisely

Top Subject Matter

Computer Vision

Top Data Types

Image

Video

Top Task Types

Object Detection

Tracking

Freelancer Overview

Data Annotation Specialist (Image Annotation). Core strengths include Labelbox and Supervisely. Education includes Bachelor of Science, Bowen University (2018). AI-training focus includes data types such as Image and Video and labeling workflows including Object Detection and Tracking.

Labeling Experience

Data Annotation Specialist (Video Annotation)

SuperviselyVideoTracking

I performed detailed video annotation for machine learning dataset preparation, including tracking and temporal labeling. This involved identifying and labeling objects across sequential video frames. The goal was to facilitate accurate computer vision model training. • Used annotation platforms like Supervisely and CVAT to track moving objects. • Processed diverse video formats such as MP4 and AVI, ensuring data quality. • Adhered to tight deadlines and maintained comprehensive documentation. • Met accuracy review benchmarks consistently throughout projects.

I performed detailed video annotation for machine learning dataset preparation, including tracking and temporal labeling. This involved identifying and labeling objects across sequential video frames. The goal was to facilitate accurate computer vision model training. • Used annotation platforms like Supervisely and CVAT to track moving objects. • Processed diverse video formats such as MP4 and AVI, ensuring data quality. • Adhered to tight deadlines and maintained comprehensive documentation. • Met accuracy review benchmarks consistently throughout projects.

2023 - 2025

Data Annotation Specialist (Image Annotation)

LabelboxImageObject Detection

As a Data Annotation Specialist, I participated in various computer vision projects involving image annotation and quality checks. I routinely annotated over 500 images daily according to strict project guidelines. My work ensured high-quality datasets for machine learning purposes. • Utilized tools such as Labelbox, CVAT, and Supervisely for bounding box and segmentation tasks. • Maintained a 98%+ accuracy rate and contributed feedback for process improvements. • Collaborated with cross-functional teams to refine annotation standards. • Supported junior annotators with guidance and training.

As a Data Annotation Specialist, I participated in various computer vision projects involving image annotation and quality checks. I routinely annotated over 500 images daily according to strict project guidelines. My work ensured high-quality datasets for machine learning purposes. • Utilized tools such as Labelbox, CVAT, and Supervisely for bounding box and segmentation tasks. • Maintained a 98%+ accuracy rate and contributed feedback for process improvements. • Collaborated with cross-functional teams to refine annotation standards. • Supported junior annotators with guidance and training.

2023 - 2025

Education

Work History