Grace O.

Key Skills

Software

Label Studio

Appen

CVAT

Top Subject Matter

Retail e-commerce product images (supermarket shelf dataset)

Intent classification and categorization on social media data

Video object tracking

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Object Detection

Transcription

Freelancer Overview

Retail Product Image Annotation (E-commerce Dataset Project). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio. Education include Essentials of Data Labelling Datalens Africa, FreeCodeCamp.org (2023) and Cisco Networking Associate, Gateway ICT (2021). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Retail Product Image Annotation (E-commerce Dataset Project)

Label StudioImageBounding Box

In a remote retail product image annotation project, Grace annotated 500+ supermarket shelf images using bounding boxes and product classification labels. The work involved identifying items such as packaged foods, beverages, and household goods while applying consistent labeling practices. She ensured high accuracy and quality across the dataset to support AI training and model readiness. • Annotated 500+ images with bounding boxes in Label Studio. • Applied object classification to categorize retail products. • Followed labeling guidelines and performed quality checks. • Corrected mislabeled data to maintain accuracy and consistency.

2026 - Present

Education

Work History