Ali Njogi

Key Skills

Software

CVAT

Labelbox

Roboflow

Supervisely

V7 Labs

Top Subject Matter

Woodworking-lumber defects

Retail - product categorization

entity annotation of legal documents and Invoices and sentiment annotation of product reviews.

Top Data Types

Image

Medical Dicom

Text

Top Task Types

Bounding Box

Cuboid

Entity Ner Classification

Polygon

Segmentation

Freelancer Overview

Dedicated and detail-oriented professional with a solid background in data annotation, including expertise in various annotation techniques such as bounding boxes, polygons, polylines, 3D Cuboids and semantic segmentation. Skilled in ensuring data accuracy and quality while adhering to project guidelines and deadlines. A proactive problem-solver with a strong ability to collaborate effectively in team environments. Passionate about continuous learning and staying updated on emerging trends in data annotation and machine learning. Ready to leverage my skills and experience to contribute to the success of data annotation projects.

Labeling Experience

Defect detection in plywood products

CVATImagePolygonSegmentation

The main task was to detect unnatural defects in lumber products and annotate them using polygons mostly. We were dealing with over 28 labels. We were required to produce around 800 to 1000 annotations per day, and the main platform we used was CVAT.

The main task was to detect unnatural defects in lumber products and annotate them using polygons mostly. We were dealing with over 28 labels. We were required to produce around 800 to 1000 annotations per day, and the main platform we used was CVAT.

2023 - 2023

Education

Work History