Justice E.

Key Skills

Software

Label Studio

CVAT

Other

Top Subject Matter

Object detection

Bounding box annotation

Traffic scene labeling (cars

Top Data Types

Image

Video

Text

Audio

Document

Top Task Types

Bounding Box

Polygon

Point/Key Point

Polyline

Entity (NER) Classification

Segmentation

Classification

Tracking

Emotion Recognition

Object Detection

Freelancer Overview

AI Data Annotation & Quality Assurance Projects (Independent Projects). Core strengths include CVAT, Label Studio, and Other. Education includes National Diploma, Abia State Polytechnic and Higher National Diploma, Abia State Polytechnic. AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Segmentation, Object Detection, and Classification.

Labeling Experience

AI Data Annotation Certificate (Data Lens)

Label StudioDocument

Completed an AI data annotation training program and certification covering core labeling techniques for AI model development. Acquired practical knowledge for dataset preparation across image and audio labeling, with exposure to text labeling workflows as well. Demonstrated understanding of how to maintain accuracy and consistency during annotation. • Certificate issued for training in data annotation techniques. • Learned annotation fundamentals for image, audio, and text labeling. • Applied practices for preparing high-quality datasets. • Gained hands-on experience with annotation tool usage such as Label Studio.

2026 - Present

Content Creation / Digital Work: AI Data Annotator (Freelance)

Label StudioTextEmotion Recognition

Performed text sentiment classification as part of multimodal annotation projects for AI training datasets. Produced labeled text outputs intended for downstream natural language processing model development. Maintained consistent labeling standards to ensure reliable dataset quality. • Labeled text with sentiment categories for NLP tasks. • Ensured consistency with the defined annotation guidelines. • Prepared structured outputs suitable for AI training pipelines. • Supported multimodal dataset creation alongside image/audio/video work.

2026 - Present

Freelance Project 6: Indoor Scene Segmentation

OtherImageSegmentation

Segmented indoor scenes by labeling floor, chair, table, and background classes at pixel level. Used brush tools for pixel-wise annotation to produce semantic segmentation labels. Validated dataset quality using self-review and rubric scoring to ensure inter-sample consistency. • Labeled floor, chair, table, and background classes. • Used brush tool for pixel-level semantic segmentation. • Applied self-review and rubric scoring for validation. • Prepared high-quality labeled indoor scene segmentation dataset.

2026 - Present

Freelance Project 5: Laptop Segmentation

OtherImagePolygon

Annotated laptop images using polygon and brush tools to generate segmentation-ready labels. Applied semantic segmentation techniques to capture object regions accurately. Conducted quality audits and documented findings to ensure label correctness. • Drew polygon and brush-based annotations for laptops. • Applied semantic segmentation labeling methods. • Performed quality audits and captured documented results. • Ensured annotated outputs met dataset accuracy requirements.

2026 - Present

Freelance Project 4: Vehicle Detection Dataset QA

CVATImageBounding Box

Performed quality assurance and error analysis for a vehicle detection dataset to improve label accuracy. Annotated vehicles and pedestrians using bounding boxes in CVAT and validated the labeling against project QA standards. Created annotation guidelines and QA rubrics to support consistent future labeling. • Labeled vehicles and pedestrians with bounding boxes in CVAT. • Conducted quality review and error analysis. • Authored annotation guidelines and QA rubrics for consistency. • Improved dataset readiness for AI training.

2026 - Present

Show more

Education

Work History