Samuel Wiredu

Key Skills

Software

Appen

Clickworker

Remotasks

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Top Task Types

Bounding Box

Polygon

Polyline

Segmentation

Freelancer Overview

Motivated and detail-oriented data annotator with under a year of hands-on experience in image, text, and document labeling. Familiar with annotation tools and guidelines, and committed to delivering accurate, high-quality results to support AI model development. Quick learner with a strong work ethic and a keen interest in contributing to real-world AI projects.

Labeling Experience

Data labelling for docked boats

AppenImagePolygon

Labeled images of docked boats to support computer vision models used in maritime and environmental monitoring. Focused on accurately identifying and tagging boats, docks, and surrounding water features using bounding boxes and polygon tools. Contributed to improving object recognition performance in diverse lighting and weather conditions.

Labeled images of docked boats to support computer vision models used in maritime and environmental monitoring. Focused on accurately identifying and tagging boats, docks, and surrounding water features using bounding boxes and polygon tools. Contributed to improving object recognition performance in diverse lighting and weather conditions.

2024 - 2024

Data for self driving cars

AppenImagePolyline

Annotated image and video datasets to support the development of autonomous vehicle systems. Tasks included labeling road signs, lane markings, vehicles, pedestrians, and traffic signals using precise bounding boxes and segmentation tools. Ensured accuracy and consistency across large datasets to enhance object detection and scene understanding in real-world driving conditions.

Annotated image and video datasets to support the development of autonomous vehicle systems. Tasks included labeling road signs, lane markings, vehicles, pedestrians, and traffic signals using precise bounding boxes and segmentation tools. Ensured accuracy and consistency across large datasets to enhance object detection and scene understanding in real-world driving conditions.

2024 - 2024

Education

Work History