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John Oduor

John Oduor

0.02 reviews

Experienced professional with a strong background in data annotation, text

USA flag
florida, Usa
$15.00/hrIntermediateAppenAxiom AICrowdsource

Key Skills

Software

AppenAppen
Axiom AI
CrowdSourceCrowdSource
CVATCVAT
Data Annotation TechData Annotation Tech
HiveMindHiveMind
LabelImgLabelImg
Label StudioLabel Studio
MindriftMindrift
RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

audiocollection
rater
image classification

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Label Types

Audio Recording
Bounding Box
Classification
Data Collection

Freelancer Overview

Experienced professional with a strong background in data annotation, financial systems, and AI-related online projects. Adept at delivering high-quality labeled datasets for machine learning, maintaining accuracy, and working collaboratively to meet project goals.xperienced professional with a strong background in data annotation, financial systems, and AI-related online projects. Adept at delivering high-quality labeled datasets for machine learning, maintaining accuracy, and working collaboratively to meet project goals.

Intermediate0.0English

Labeling Experience

Label Studio

image data labelling

Label StudioImageBounding Box
The project involve labelling vehicle using label studio, it involve labelling more than 500 images

The project involve labelling vehicle using label studio, it involve labelling more than 500 images

2023 - 2024
CVAT

SEGMENTATION

CVATVideoPolygon
SEGMENTATION OF COMPOUND

SEGMENTATION OF COMPOUND

2022 - 2023
Datatroniq

data annotation

DatatroniqAudioBounding BoxPoint Key Point
remotask label

remotask label

2021 - 2023
Scale AI

CVAI

Scale AIVideoBounding BoxPolygon
The project involved annotating video footage of traffic scenes to train AI models for autonomous vehicle systems. Tasks included labeling vehicles, pedestrians, traffic signs, lane markings, and road conditions using precise frame-by-frame annotation tools. The goal was to ensure high-quality data for machine learning by following strict accuracy, consistency, and timeline standards.

The project involved annotating video footage of traffic scenes to train AI models for autonomous vehicle systems. Tasks included labeling vehicles, pedestrians, traffic signs, lane markings, and road conditions using precise frame-by-frame annotation tools. The goal was to ensure high-quality data for machine learning by following strict accuracy, consistency, and timeline standards.

2020 - 2022

Education

N

new york university

Bachelors in economics, computer science

Bachelors in economics
2018 - 2023

Work History

R

remotask

tasker

florida
2020 - 2023