Seun J.

Key Skills

Software

CVAT

Top Subject Matter

Object detection image labeling

Land use data collection and validation

Household survey data coding and preparation

Top Data Types

Image

Text

Document

Top Task Types

Object Detection

Data Collection

Entity (NER) Classification

Freelancer Overview

Self-directed Microtask Project (Image annotation for object detection). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Excel, and Google sheets. Education includes National Youth Service Corp, Environmental Protection Agency (EPA) (2020) and Higher National Diploma, Federal Polytechnic Ado-Ekiti (2018). AI-training focus includes data types such as Image, Geospatial, and Tiled Imagery and labeling workflows including Object Detection, Data Collection, and Entity (NER) Classification.

Labeling Experience

Data Collector & Validator (Federal Polytechnic, Ado Ekiti)

Data Collection

Collected and validated land use data for 200+ properties using standardized SOPs. Entered 500+ data points into Excel with a 99% accuracy rate using double-checking practices. Identified and flagged questionable or inconsistent records for QA review to improve dataset reliability. • Land use data collection and validation • Excel data entry with QA/QC • Flagging records for QA review • SOP compliance for dataset accuracy

2014 - 2018

Field Data Processor (Traffic & Mobility Study)

TextData Collection

Processed raw field data from five intersections into structured Excel spreadsheets. Performed data validation and formatting steps to align with project requirements and dataset standards. Delivered a clean, guideline-compliant dataset ahead of schedule for use in analysis. • Structured raw field data into spreadsheets • Data validation and formatting • Followed project guidelines for dataset quality • Delivered finalized dataset ahead of deadline

2024

Survey Coordinator (Community Research and Development Centre)

TextEntity (NER) Classification

Conducted and coded 80+ household surveys following project guidelines. Entered and anonymized survey data in Google Sheets to ensure participant privacy and data integrity. Prepared consistently formatted datasets for downstream analysis with clear labeling practices. • Survey data coding per guidelines • Data entry and anonymization in Google Sheets • Dataset preparation with consistent formatting • Ensured data integrity and privacy controls

2023

Self-directed Microtask Project (Image annotation for object detection)

CVATImageObject Detection

Completed 1,200+ image annotation microtasks focused on object detection. Applied bounding boxes and polygon segmentations according to project guidelines to ensure consistent QA. Achieved a 96% QA score and maintained high inter-annotator agreement while meeting daily SOP-driven output targets. • Used CVAT for annotation • Labeled objects with bounding boxes and polygons • Followed SOPs and guideline adherence • Maintained 96% QA and 98% inter-annotator agreement

2017

Education

Work History