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Yash Verma

Yash Verma

Medical Image Annotation and Label Validation

INDIA flag
Mysore, India
$10.00/hrIntermediateOpencv AI Kit Oak

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)

Top Subject Matter

Medical Image Classification
Image Classification

Top Data Types

ImageImage
Medical DicomMedical Dicom
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification
Segmentation
Object Detection
Text Summarization
Text Generation
Data Collection
Transcription
Red Teaming
Evaluation Rating
Computer Programming Coding
Function Calling
Fine Tuning
Prompt Response Writing SFT

Freelancer Overview

I have hands-on experience working with labeled and unlabeled datasets through my projects in medical image classification and intelligent control systems. In my Swin Transformer project, I performed data preprocessing, pseudo-labeling, and annotation validation on the Kvasir dataset to improve model performance. I also worked with time-series data in my control system project, ensuring data accuracy and consistency. I focus on data quality, error detection, and proper labeling practices. My strong attention to detail and understanding of ML workflows help in building reliable AI training datasets.

IntermediateTamilHindiEnglish

Labeling Experience

Data Annotation and Labeling for Image Classification

OtherImageClassification
Executed manual labeling and annotation of over 5,000 images for multi-category image classification tasks. Maintained high accuracy and consistency using structured guidelines and validation routines. Used Python scripts for preprocessing, duplicate removal, and accuracy verification to improve dataset reliability. • Managed preparation of labeling data for machine learning pipelines. • Conducted thorough quality checks on annotated images. • Streamlined error reduction in labeling through automation. • Enhanced model training efficiency by providing robust labeled datasets.

Executed manual labeling and annotation of over 5,000 images for multi-category image classification tasks. Maintained high accuracy and consistency using structured guidelines and validation routines. Used Python scripts for preprocessing, duplicate removal, and accuracy verification to improve dataset reliability. • Managed preparation of labeling data for machine learning pipelines. • Conducted thorough quality checks on annotated images. • Streamlined error reduction in labeling through automation. • Enhanced model training efficiency by providing robust labeled datasets.

Not specified

Medical Image Annotation and Label Validation

OtherClassification
Engaged in semi-supervised labeling of medical image datasets using pseudo-labeling techniques. Regularly performed data cleaning, preprocessing, and validation to ensure dataset accuracy. Maintained a high standard of label quality and efficiency in support of deep learning experiments. • Worked with Kvasir medical image dataset. • Enhanced dataset consistency through careful annotation review. • Increased model test accuracy via improved labeling. • Supported high-quality training data preparation for machine learning pipelines.

Engaged in semi-supervised labeling of medical image datasets using pseudo-labeling techniques. Regularly performed data cleaning, preprocessing, and validation to ensure dataset accuracy. Maintained a high standard of label quality and efficiency in support of deep learning experiments. • Worked with Kvasir medical image dataset. • Enhanced dataset consistency through careful annotation review. • Increased model test accuracy via improved labeling. • Supported high-quality training data preparation for machine learning pipelines.

Not specified

Education

S

Sita Bal V.M.I.C. Mahmudabad Sitapur

Senior Secondary Certificate, Senior Secondary Education

Senior Secondary Certificate
2019 - 2020
V

Vellore Institute of Technology

Bachelor of Technology, Electronics and Communication Engineering

Bachelor of Technology
2021

Work History

M

MERN

Software Development Intern

Chennai
2023 - 2023