Ukeme Akpan

Key Skills

Software

CVAT

Labelbox

Top Subject Matter

General Object Classification

Sentiment Analysis

General Machine Learning Data Preparation

Top Data Types

Image

Text

Top Task Types

Bounding Box

Classification

Freelancer Overview

Image Annotation Practice Project. Brings 17+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Google Sheets, and Labelbox. Education includes National Diploma, Rufus Giwa Polytechnic (2006) and Diploma, Tunes-Links of Computer Technology (2005). AI-training focus includes data types such as Image and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Self-Directed AI Training Practice

LabelboxImageClassification

I engaged in self-directed AI training activities by labeling online datasets. This work deepened my understanding of how annotated image data helps improve machine learning models. I practiced using different free labeling tools to further develop my skills. • Explored various types of image labeling tasks independently. • Managed and submitted small batches of labeled data. • Practiced quality assurance techniques for dataset accuracy. • Developed skills using both CVAT and Labelbox software.

I engaged in self-directed AI training activities by labeling online datasets. This work deepened my understanding of how annotated image data helps improve machine learning models. I practiced using different free labeling tools to further develop my skills. • Explored various types of image labeling tasks independently. • Managed and submitted small batches of labeled data. • Practiced quality assurance techniques for dataset accuracy. • Developed skills using both CVAT and Labelbox software.

Not specified

Text Annotation Project (Sentiment Analysis)

TextClassification

I labeled text samples for sentiment analysis, categorizing them as positive, negative, or neutral. Achieved consistent results by following detailed annotation rules provided at the start. Maintained high inter-annotator agreement throughout the process. • Labeled diverse textual data focusing on sentiment expression. • Adhered strictly to well-defined sentiment annotation instructions. • Applied detailed quality control measures on each batch. • Used tools such as Google Sheets and Microsoft Excel to track and organize data.

I labeled text samples for sentiment analysis, categorizing them as positive, negative, or neutral. Achieved consistent results by following detailed annotation rules provided at the start. Maintained high inter-annotator agreement throughout the process. • Labeled diverse textual data focusing on sentiment expression. • Adhered strictly to well-defined sentiment annotation instructions. • Applied detailed quality control measures on each batch. • Used tools such as Google Sheets and Microsoft Excel to track and organize data.

Not specified

Image Annotation Practice Project

CVATImageBounding Box

I annotated sample image datasets using bounding boxes and classification techniques. My work involved identifying everyday objects and maintaining standardized labeling protocols. Consistency and accuracy were prioritized throughout the project. • Used bounding boxes to highlight objects of interest in each image. • Applied clear labeling guidelines for every annotation task. • Ensured each label met project quality standards. • Developed proficiency in both CVAT and Labelbox annotation tools.

I annotated sample image datasets using bounding boxes and classification techniques. My work involved identifying everyday objects and maintaining standardized labeling protocols. Consistency and accuracy were prioritized throughout the project. • Used bounding boxes to highlight objects of interest in each image. • Applied clear labeling guidelines for every annotation task. • Ensured each label met project quality standards. • Developed proficiency in both CVAT and Labelbox annotation tools.

Not specified

Education

Work History