Nwankwo Ernest Onyebuchi

Key Skills

Software

CVAT

Labelbox

Supervisely

Top Subject Matter

Computer Vision

Image Recognition

Human Activity Recognition

Top Data Types

Video

Image

Top Task Types

Bounding Box

Action Recognition

Classification

Freelancer Overview

Data Annotation Specialist (Freelance). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Supervisely. Education includes National Diploma, Metallurgical Training Institute Onitsha (2021). AI-training focus includes data types such as Image and Video and labeling workflows including Bounding Box, Action Recognition, and Classification.

Labeling Experience

Video Annotation Project Contributor

CVATVideoAction Recognition

I participated in a video annotation project focusing on labeling human activities and object movements. My responsibilities included applying temporal annotation and action recognition techniques to video data. Quality and accuracy were crucial to support downstream AI model development. • Labeled actions and object tracks in videos using annotation tools. • Ensured consistency across video datasets following established instructions. • Reviewed and corrected annotations to maintain high quality. • Collaborated with project leads for dataset validation.

I participated in a video annotation project focusing on labeling human activities and object movements. My responsibilities included applying temporal annotation and action recognition techniques to video data. Quality and accuracy were crucial to support downstream AI model development. • Labeled actions and object tracks in videos using annotation tools. • Ensured consistency across video datasets following established instructions. • Reviewed and corrected annotations to maintain high quality. • Collaborated with project leads for dataset validation.

Present

Data Annotation Specialist (Freelance)

CVATImageBounding Box

As a Data Annotation Specialist, I annotated large image datasets using bounding box and segmentation techniques. I followed strict guidelines to ensure accuracy and consistency across all images. My role supported the AI/ML model training pipelines for image recognition tasks. • Used CVAT, Labelbox, and Supervisely for various image annotation tasks. • Categorized images and applied both bounding box and segmentation labels. • Conducted quality assurance checks and corrected labeling errors. • Maintained labeling standards across project workflows.

As a Data Annotation Specialist, I annotated large image datasets using bounding box and segmentation techniques. I followed strict guidelines to ensure accuracy and consistency across all images. My role supported the AI/ML model training pipelines for image recognition tasks. • Used CVAT, Labelbox, and Supervisely for various image annotation tasks. • Categorized images and applied both bounding box and segmentation labels. • Conducted quality assurance checks and corrected labeling errors. • Maintained labeling standards across project workflows.

Present

Image Classification Project Annotator

SuperviselyImageClassification

I completed an image classification project requiring high-precision categorization of images into predefined classes. My role involved maintaining accuracy while efficiently labeling large sets of images. This contributed to training datasets for supervised machine learning models. • Utilized annotation platforms including Supervisely and Labelbox. • Followed detailed class definitions and applied labels accordingly. • Participated in quality assurance reviews. • Provided feedback on class ambiguity and edge cases.

I completed an image classification project requiring high-precision categorization of images into predefined classes. My role involved maintaining accuracy while efficiently labeling large sets of images. This contributed to training datasets for supervised machine learning models. • Utilized annotation platforms including Supervisely and Labelbox. • Followed detailed class definitions and applied labels accordingly. • Participated in quality assurance reviews. • Provided feedback on class ambiguity and edge cases.

Not specified

Education

Work History