Toluwanimi O.

Key Skills

Software

Other

Top Subject Matter

Computer Vision (Object Detection, Classification, Segmentation)

Computer Vision (Segmentation)

Computer Vision (Image Classification)

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Segmentation

Classification

Freelancer Overview

Data & Image Annotation Projects (AI training dataset labeling). Core strengths include Other. Education includes Bachelor of Laws, Obafemi Awolowo University. AI-training focus includes data types such as Image and labeling workflows including Bounding Box, Segmentation, and Classification.

Labeling Experience

Image Annotation (Classification labeling)

OtherImageClassification

Performed image classification annotation to support supervised AI training and dataset readiness. Applied consistent labeling practices for class assignment across labeled images. Participated in data quality review to ensure annotations met training requirements. • Assigned class labels for image classification datasets • Ensured labeling consistency across image samples • Conducted data quality review and verification • Prepared labeled data for AI training use

Not specified

Image Annotation (Segmentation and quality validation)

OtherImageSegmentation

Completed segmentation-focused image annotation to support AI and machine learning workflows. Labeled regions of interest to enable models to learn spatial object boundaries from training data. Performed quality validation activities to improve consistency and accuracy of the annotated outputs. • Created segmentation labels for training datasets • Helped support computer vision model learning via region annotation • Reviewed and validated annotation quality • Assisted with overall dataset preparation for AI training

Not specified

Data & Image Annotation Projects (AI training dataset labeling)

OtherImageBounding Box

Performed image labeling for AI and machine learning dataset preparation, including bounding boxes and related annotations. Conducted object-level classification and validation checks to help ensure labeled data quality. Supported segmentation and polygon-style labeling as part of preparing reliable training inputs for model development. • Labeled images using bounding box and polygon/shape annotations • Prepared datasets for object detection and related computer vision tasks • Performed data quality review and validation of annotations • Contributed to AI training data preparation workflows

Not specified

Education

Work History