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Daniel Oyugi

Daniel Oyugi

Experienced Data Labeling Specialist

Kenya flagNAIROBI, Kenya
$21.00/hrExpertAws SagemakerAxiom AICloudfactory

Key Skills

Software

AWS SageMakerAWS SageMaker
Axiom AI
CloudFactoryCloudFactory
Data Annotation TechData Annotation Tech
LabelboxLabelbox
Label StudioLabel Studio
V7 LabsV7 Labs

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Task Types

MappingMapping
Object DetectionObject Detection
SegmentationSegmentation
Text GenerationText Generation
Text SummarizationText Summarization

Freelancer Overview

I have developed AI-powered geospatial models for land classification and environmental monitoring. Led the segmentation of medical images (MRI, CT scans) for disease detection. Built object detection models for smart city applications, including traffic analysis and surveillance. Processed and analyzed satellite imagery to extract geospatial insights for urban planning. Utilized AI-driven mapping tools to enhance land-use classification. Developed computer vision algorithms for self-driving and smart mobility solutions. Worked on AI-based real-time detection and segmentation for urban infrastructure mapping.

ExpertEnglish

Labeling Experience

CVAT

image annotation

CVATImageBounding BoxPolygon
Object recognition is the process by which AR and VR systems use computer vision and AI to detect, track, and interact with objects in real time. By integrating sensors and cameras with advanced algorithms, these systems can identify real-world objects and overlay digital content seamlessly, creating an interactive environment. For instance, AR applications use object recognition to map physical spaces and provide users with contextual information, while VR relies on the same technology to interact with digital objects in a fully virtual world. The importance of object recognition lies in its ability to bridge the gap between the physical and digital worlds, making immersive experiences far more intuitive and engaging. As a result, businesses can offer customers deeper, more personalized interactions, from virtual product try-ons to enhanced training simulations.

Object recognition is the process by which AR and VR systems use computer vision and AI to detect, track, and interact with objects in real time. By integrating sensors and cameras with advanced algorithms, these systems can identify real-world objects and overlay digital content seamlessly, creating an interactive environment. For instance, AR applications use object recognition to map physical spaces and provide users with contextual information, while VR relies on the same technology to interact with digital objects in a fully virtual world. The importance of object recognition lies in its ability to bridge the gap between the physical and digital worlds, making immersive experiences far more intuitive and engaging. As a result, businesses can offer customers deeper, more personalized interactions, from virtual product try-ons to enhanced training simulations.

2019 - 2022

Education

E

Egerton University

Degree, Data Science, AI, Geospatial Science, Or Related Field

Degree
2021 - 2021
D

Durham University

MSC, computer science, computer science

MSC, computer science
2017 - 2021

Work History

A

AI & Computer Vision Solutions

AI & Computer Vision Specialist

Nairobi
2021 - 2022
G

GeoData Analytics

Geospatial Data Analyst

Nairobi
2020 - 2021