Marvellous Opara

Key Skills

Software

Roboflow

Label Studio

CVAT

Top Subject Matter

Computer Vision/Object Detection

Top Data Types

Text

Video

Image

Top Task Types

Classification

Bounding Box

Polygon

Object Detection

Text Generation

Prompt Response Writing SFT

Function Calling

Transcription

Text Summarization

Question Answering

Freelancer Overview

Computer Vision Model — Object Detection with Roboflow. Core strengths include Roboflow. AI-training focus includes data types such as Image and labeling workflows including Object Detection.

Labeling Experience

Computer Vision Model — Object Detection with Roboflow

RoboflowImageObject Detection

Created, annotated, and versioned datasets for a custom computer vision object detection project using Roboflow. Managed the entire annotation workflow, including image preprocessing, dataset splitting, and quality evaluation for model training. Deployed and tested the object detection model using Roboflow's inference API for real-time image predictions. • Conducted thorough manual annotation and labeling of images following strict project guidelines. • Used bounding boxes and object detection workflows for effective training dataset preparation. • Evaluated model performance metrics including precision and recall after annotation cycles. • Maintained dataset integrity through version control and robust data handling practices.

Created, annotated, and versioned datasets for a custom computer vision object detection project using Roboflow. Managed the entire annotation workflow, including image preprocessing, dataset splitting, and quality evaluation for model training. Deployed and tested the object detection model using Roboflow's inference API for real-time image predictions. • Conducted thorough manual annotation and labeling of images following strict project guidelines. • Used bounding boxes and object detection workflows for effective training dataset preparation. • Evaluated model performance metrics including precision and recall after annotation cycles. • Maintained dataset integrity through version control and robust data handling practices.

2026 - 2026

ML-Based Climate Data Analysis — Research Project

TextClassification

The ML-Based Climate Data Analysis project involved applying machine learning algorithms to large-scale climate datasets. I performed extensive data preprocessing, feature extraction, and model evaluation to identify trends and patterns within climate data. The workflow required careful selection of features and iterative validation of models to ensure accurate results. • Used Python-based tools including Jupyter Notebook and Scikit-learn for all computational tasks. • Data annotation consisted of cleaning, transforming, and labeling variables for input into supervised learning models. • Emphasis was placed on classification of climate patterns and identifying critical signals for further study. • Collaboration with academic supervisors ensured data quality and meaningful analytical outcomes.

The ML-Based Climate Data Analysis project involved applying machine learning algorithms to large-scale climate datasets. I performed extensive data preprocessing, feature extraction, and model evaluation to identify trends and patterns within climate data. The workflow required careful selection of features and iterative validation of models to ensure accurate results. • Used Python-based tools including Jupyter Notebook and Scikit-learn for all computational tasks. • Data annotation consisted of cleaning, transforming, and labeling variables for input into supervised learning models. • Emphasis was placed on classification of climate patterns and identifying critical signals for further study. • Collaboration with academic supervisors ensured data quality and meaningful analytical outcomes.

2022 - 2023

Education

Work History