Emmanuel Godwin

Key Skills

Software

CVAT

LabelImg

Roboflow

Top Subject Matter

No subject matter listed

Top Data Types

Document

Geospatial Tiled Imagery

Image

Medical Dicom

Video

Top Label Types

Bounding Box

Classification

Object Detection

Point Key Point

Polygon

Segmentation

Tracking

Freelancer Overview

I am a Computer Vision Annotation Specialist with extensive experience delivering high-quality labeled datasets for AI and machine learning projects. My expertise spans image and video annotation, object labeling, instance and semantic segmentation, polygon masks, bounding boxes, text and line annotation, key points, cuboids/3D boxes, and image classification. I have worked across diverse domains, including industrial and PPE imagery, architectural floor plans, medical (non-clinical) datasets, retail and surveillance imagery, satellite and aerial imagery, and document analysis. I am highly skilled in using tools such as Roboflow, CVAT, LabelImg, MakeSense.ai, and web-based annotation platforms. I pride myself on my precision, speed, and strict adherence to project guidelines, consistently delivering model-ready data for both short-term and long-term AI initiatives. My adaptability, remote collaboration skills, and commitment to quality ensure reliable results for any data annotation project.

Labeling Experience

Computer Vision Annotation Specialist – AI Data Labeling

RoboflowImageBounding BoxPolygon

As a Computer Vision Annotation Specialist, I provided high-precision data annotation for AI and machine learning applications. I performed bounding box, polygon, key point, cuboid, segmentation, and classification tasks across various domains. I consistently followed strict annotation protocols and delivered high-quality datasets for training advanced AI models. • Labeled images using bounding boxes, polygons, and segmentation protocols. • Annotated both images and videos for object detection and classification tasks. • Specialized in industrial imagery, PPE, medical imaging (non-clinical), architectural plans, retail/surveillance, and satellite imagery. • Utilized Roboflow, CVAT, LabelImg, MakeSense.ai, and VIA software for annotation.

As a Computer Vision Annotation Specialist, I provided high-precision data annotation for AI and machine learning applications. I performed bounding box, polygon, key point, cuboid, segmentation, and classification tasks across various domains. I consistently followed strict annotation protocols and delivered high-quality datasets for training advanced AI models. • Labeled images using bounding boxes, polygons, and segmentation protocols. • Annotated both images and videos for object detection and classification tasks. • Specialized in industrial imagery, PPE, medical imaging (non-clinical), architectural plans, retail/surveillance, and satellite imagery. • Utilized Roboflow, CVAT, LabelImg, MakeSense.ai, and VIA software for annotation.

2022

Education

Work History