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M
Mahesh Dv

Mahesh Dv

AI Data Labeling & Quality Evaluation Specialist (Imaging/Computer Vision, Canon India Pvt. Ltd.)

India flagBengaluru, India
$6.00/hrExpertCVAT

Key Skills

Software

CVATCVAT

Top Subject Matter

Digital Imaging
Computer Vision
Camera Systems

Top Data Types

ImageImage

Top Task Types

ClassificationClassification

Freelancer Overview

AI Data Labeling & Quality Evaluation Specialist (Imaging/Computer Vision, Canon India Pvt. Ltd.). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT, Labelbox, and Roboflow. Education includes Diploma in Electronics and Communication Engineering, MEI Polytechnic (2018) and Secondary School Leaving Certificate, Gnana Teja English School (2015). AI-training focus includes data types such as Image and labeling workflows including Classification.

ExpertEnglishKannadaTeluguHindiTamil

Labeling Experience

CVAT

AI Data Labeling & Quality Evaluation Specialist (Imaging/Computer Vision, Canon India Pvt. Ltd.)

CVATImageClassification
Specialized in high-precision image quality evaluation, annotation, and dataset curation in support of AI and computer vision models for photography and imaging applications. Led detailed identification and labeling of real-world image artifacts, color science issues, optical aberrations, and exposure problems to support robust model development. Created and refined annotation guidelines, performed quality scoring, and ensured rigorous quality assurance across labeled datasets. • Conducted defect detection and semantic segmentation for camera system model training • Utilized industry annotation tools such as CVAT, Labelbox, and Roboflow for labeling tasks • Ensured inter-annotator agreement and established robust QA processes • Supported dataset development and model validation for photography/imaging AI domains

Specialized in high-precision image quality evaluation, annotation, and dataset curation in support of AI and computer vision models for photography and imaging applications. Led detailed identification and labeling of real-world image artifacts, color science issues, optical aberrations, and exposure problems to support robust model development. Created and refined annotation guidelines, performed quality scoring, and ensured rigorous quality assurance across labeled datasets. • Conducted defect detection and semantic segmentation for camera system model training • Utilized industry annotation tools such as CVAT, Labelbox, and Roboflow for labeling tasks • Ensured inter-annotator agreement and established robust QA processes • Supported dataset development and model validation for photography/imaging AI domains

2021 - Present

Education

M

MEI Polytechnic

Diploma in Electronics and Communication Engineering, Electronics and Communication Engineering

Diploma in Electronics and Communication Engineering
2018 - 2018
G

Gnana Teja English School

Secondary School Leaving Certificate, General Education

Secondary School Leaving Certificate
2015 - 2015

Work History

C

Canon India

Camera Engineer

Bengaluru
2021 - Present