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S

Sofiat I.

Image Annotation Practice Project (Personal Project)

Nigeria flagKaduna, Nigeria

Key Skills

Software

Other

Top Subject Matter

Computer Vision (Object Detection and Segmentation)
Machine Learning and Data Pipelines
Legal Services & Contract Review

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
ClassificationClassification

Freelancer Overview

Image Annotation Practice Project (Personal Project). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Engineering, Federal University of Technology, Minna (2027) and National Diploma, Afim and Associates Ltd (2022). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Bounding Box and Classification.

Labeling Experience

Image Annotation Practice Project (Personal Project)

OtherImageImageBounding BoxBounding Box

You practiced object detection dataset annotation by drawing bounding boxes and creating consistent labels across multiple categories. You also applied polygon segmentation to support more detailed visual ground truth for AI training. You followed labeling guidelines to maintain accuracy, consistency, and dataset quality for downstream model learning. • Annotated 500+ images across people, vehicles, and household objects • Used bounding boxes and polygon segmentation for object localization • Maintained label consistency by following structured guidelines • Performed independent quality-focused practice for AI dataset preparation

2024 - Present

AI & Data Labeling Fundamentals (Online Coursework)

OtherClassificationClassification

You completed self-directed coursework focused on machine learning data pipelines and the importance of labeled data in training workflows. You studied best practices related to image classification, object detection, and semantic segmentation labeling conventions. This training strengthened your ability to understand labeling requirements and quality expectations for computer vision datasets. • Reviewed concepts of labeled-data-driven model training • Learned image classification labeling best practices • Studied object detection and semantic segmentation labeling approaches • Focused on understanding data pipeline roles for AI training

2024 - 2024

Education

F

Federal University of Technology, Minna

Bachelor of Engineering, Agricultural and Bioresources Engineering

Bachelor of Engineering
2024 - 2027
A

Afim and Associates Ltd

National Diploma, Agricultural and Bioresources Engineering

National Diploma
2022 - 2022

Work History

K

Kaduna Agricultural Development Agency

Assistant Supervisor (SIWES)

Kaduna
2021 - 2021