Praise Ketebu

Key Skills

Software

CVAT

Other

Top Subject Matter

Human and Vehicle Tracking

Object Detection

Intent Classification

Top Data Types

Video

Text

Image

Top Task Types

Bounding Box

Classification

Freelancer Overview

Self-Initiated Data Annotation Project – Human Tracking and Object Detection. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Other. Education includes Bachelor of Engineering, Covenant University (2025). AI-training focus includes data types such as Video and Text and labeling workflows including Bounding Box and Classification.

Labeling Experience

Data Labeling Job Simulation Forage

TextClassification

I labelled short customer support messages for intent, sentiment, and PII, and later evaluated tricky or ambiguous edge cases, and wrote short rationales justifying final label decisions Reviewed labeling work done by others, identified inconsistencies and used the Keep/Fix/Flag decisions to improve consistency and guideline clarity.

I labelled short customer support messages for intent, sentiment, and PII, and later evaluated tricky or ambiguous edge cases, and wrote short rationales justifying final label decisions Reviewed labeling work done by others, identified inconsistencies and used the Keep/Fix/Flag decisions to improve consistency and guideline clarity.

2026 - 2026

Self-Initiated Data Annotation Project – Human Tracking and Object Detection

CVATVideoBounding Box

I performed video annotation by tracking humans and vehicles frame-by-frame using bounding boxes and strict annotation rules. The task required assigning consistent object IDs, maintaining continuity, and ensuring quality by adhering to occlusion and reflection guidelines. My work focused on applying at least 50% visibility, tight boundary definition, and ignoring nondistinct regions across 40 frames. • Utilized CVAT for multi-object video tracking and annotation. • Employed best practices like object ID consistency and accurate bounding box placement. • Focused on ignoring reflections and following professional annotation standards. • Prioritized continuity, quality, and high annotation accuracy.

I performed video annotation by tracking humans and vehicles frame-by-frame using bounding boxes and strict annotation rules. The task required assigning consistent object IDs, maintaining continuity, and ensuring quality by adhering to occlusion and reflection guidelines. My work focused on applying at least 50% visibility, tight boundary definition, and ignoring nondistinct regions across 40 frames. • Utilized CVAT for multi-object video tracking and annotation. • Employed best practices like object ID consistency and accurate bounding box placement. • Focused on ignoring reflections and following professional annotation standards. • Prioritized continuity, quality, and high annotation accuracy.

2026 - 2026

Education

Work History