Aimuanmwosa Uyi-Ufumwen

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

Sentiment Analysis

Object Detection

Product Categorization

Top Data Types

Text

Image

Top Task Types

Classification

Object Detection

Freelancer Overview

Self-Practice Text Data Annotator. Core strengths include Label Studio, CVAT, and Google Sheets. Education includes Bachelor of Science, Ambrose Alli University (2020). AI-training focus includes data types such as Text and Image and labeling workflows including Classification and Object Detection.

Labeling Experience

Self-Practice Product Categorization Data Annotator

TextClassification

I categorized product data for AI training purposes as part of self-guided annotation projects. This work involved organizing and labeling products according to predefined categories. It strengthened my understanding of how labeled data structures impact machine learning models. • Sorted product listings into accurate categories. • Maintained consistency in product labeling. • Utilized spreadsheet tools for data organization. • Enhanced analytical and categorization skills.

I categorized product data for AI training purposes as part of self-guided annotation projects. This work involved organizing and labeling products according to predefined categories. It strengthened my understanding of how labeled data structures impact machine learning models. • Sorted product listings into accurate categories. • Maintained consistency in product labeling. • Utilized spreadsheet tools for data organization. • Enhanced analytical and categorization skills.

2023 - Present

Self-Practice Image Data Annotator

CVATImageObject Detection

I annotated images for object detection tasks using available annotation platforms. Objects within images were identified and labeled to help train computer vision algorithms. This self-driven project offered practical experience with basic annotation tools. • Identified and labeled multiple objects per image. • Ensured quality and accuracy of bounding boxes. • Used annotation platforms to practice labeling workflows. • Developed critical attention to visual details.

I annotated images for object detection tasks using available annotation platforms. Objects within images were identified and labeled to help train computer vision algorithms. This self-driven project offered practical experience with basic annotation tools. • Identified and labeled multiple objects per image. • Ensured quality and accuracy of bounding boxes. • Used annotation platforms to practice labeling workflows. • Developed critical attention to visual details.

2023 - Present

Self-Practice Text Data Annotator

Label StudioTextClassification

I labeled text datasets for sentiment analysis as a self-practice project in AI annotation. This involved reading, interpreting, and classifying text samples based on sentiment categories. The project improved my attention to detail and understanding of machine learning workflows. • Classified text data for sentiment polarity. • Ensured labeling consistency and high-quality annotations. • Used annotation tools in a self-directed manner. • Developed initial experience with annotation standards.

I labeled text datasets for sentiment analysis as a self-practice project in AI annotation. This involved reading, interpreting, and classifying text samples based on sentiment categories. The project improved my attention to detail and understanding of machine learning workflows. • Classified text data for sentiment polarity. • Ensured labeling consistency and high-quality annotations. • Used annotation tools in a self-directed manner. • Developed initial experience with annotation standards.

2023 - Present

Education

Work History