Adeyemi A.

Key Skills

Software

CVAT

Labelbox

Other

Top Subject Matter

Object detection and image classification datasets

Speech AI training data (audio transcription and tagging)

Temporal and motion-based video model training datasets

Top Data Types

Image

Audio

Video

Text

Document

Top Task Types

Object Detection

Transcription

Action Recognition

Freelancer Overview

Data Analyst & Labelling Contributor (Image Annotation & QA). Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Other. Education includes Bachelor of Science, Unique Open University (2024) and National Diploma, Yaba College of Health Technology (2015). AI-training focus includes data types such as Image, Audio, and Video and labeling workflows including Object Detection, Transcription, and Action Recognition.

Labeling Experience

Data Analyst & Labelling Contributor (Video Frame-by-Frame Tagging)

OtherVideoAction Recognition

Annotated video footage frame-by-frame to support temporal and motion-based AI model training. Applied consistent frame-level tagging so the resulting dataset could be used for model learning. Completed QA checks to ensure accuracy and uniformity across labeled video sequences.•Performed frame-by-frame video annotation for temporal modeling•Tagged motion/temporal segments for training data generation•Verified annotation consistency with QA/accuracy checks•Met daily and weekly annotation targets while maintaining logs

2024

Data Analyst & Labelling Contributor (Audio Transcription & Labelling)

OtherAudioTranscription

Transcribed and tagged audio recordings to create structured training data for speech AI models. Ensured the audio labels were accurate and formatted for downstream machine learning use. Performed quality assurance checks to confirm consistency across batches of annotated audio.•Created transcription-derived structured labels for speech AI training•Tagged audio recordings for correct segment alignment•Checked label accuracy and consistency during QA•Recorded and maintained labelling logs while meeting targets

2024

Data Analyst & Labelling Contributor (Image Annotation & QA)

CVATImageObject Detection

Annotated image datasets for object detection and classification tasks to support AI model training. Used bounding box, polygon, and segmentation labeling methods to meet varied annotation requirements. Conducted dataset quality assurance checks to ensure consistency and accuracy across annotation batches.•Labeled images in CVAT and Labelbox at volume•Applied bounding boxes and segmentation-style annotations•Verified label consistency with QA/accuracy checks•Maintained labelling logs and met daily/weekly targets

2024

Education

Work History