Felix Otieno

Key Skills

Software

Labelbox

Remotasks

Scale AI

Toloka

Top Subject Matter

Self-driving car imagery annotation

Legal document evaluation and categorization in english

Satellite image classification for land use analysis(weather and roads conditions)

Top Data Types

3D Sensor

Medical Dicom

Text

Top Task Types

Bounding Box

Classification

Cuboid

Data Collection

Polygon

Freelancer Overview

An expert in data annotation, my proficiency has been refined through extensive experience, notably with Remotasks since 2022. Specializing in computer vision and natural language processing tasks, I excel in annotating self-driving car imagery, classifying satellite images, and evaluating legal documents in Spanish. My ability to deliver precise annotations efficiently sets me apart, ensuring top-quality results for every project. Additionally, I am familiar with tools such as Scale AI, utilized by Remotasks, to enhance the efficiency and accuracy of data labeling tasks.

Labeling Experience

3D Data Annotation for Partial EMV Recognition

Scale AI3D SensorBounding BoxPoint Key Point

In this project, I was tasked with annotating 3D point cloud data to identify and label partial EMV (Europay, Mastercard, Visa) objects. The scope of the project involved annotating bounding boxes around partial EMV objects within the point cloud, as well as marking key points to precisely outline their contours. Quality measures were strictly adhered to, ensuring accurate and consistent annotations across the dataset. The project required meticulous attention to detail to ensure that partial EMV objects were correctly identified and annotated, contributing to the development of robust recognition algorithms.

In this project, I was tasked with annotating 3D point cloud data to identify and label partial EMV (Europay, Mastercard, Visa) objects. The scope of the project involved annotating bounding boxes around partial EMV objects within the point cloud, as well as marking key points to precisely outline their contours. Quality measures were strictly adhered to, ensuring accurate and consistent annotations across the dataset. The project required meticulous attention to detail to ensure that partial EMV objects were correctly identified and annotated, contributing to the development of robust recognition algorithms.

2023 - 2023

Education

Work History