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Sukhvinder Singh

Sukhvinder Singh

Image Annotation Project (AI Data Labeling & Annotation Training)

India flagAnandpur Sahib, India
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Computer Vision
Natural Language Processing
Document AI

Top Data Types

ImageImage
TextText
DocumentDocument

Top Task Types

Bounding BoxBounding Box
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Image Annotation Project (AI Data Labeling & Annotation Training). Core strengths include N and A. AI-training focus includes data types such as Image, Text, and Document and labeling workflows including Bounding Box, Classification, and Entity (NER) Classification.

Intermediate

Labeling Experience

Document Tagging Project (AI Data Labeling & Annotation Training)

DocumentEntity Ner Classification
I was responsible for extracting and tagging key entities such as names, dates, and relevant information from documents. My role supported AI models focused on structured data extraction. Careful tagging ensured accuracy for training document understanding algorithms. • Tagged named entities and extracted core information from documents. • Supported NER and information extraction pipeline development. • Maintained accuracy and structure in document annotation work. • Assisted in building datasets for document intelligence use cases.

I was responsible for extracting and tagging key entities such as names, dates, and relevant information from documents. My role supported AI models focused on structured data extraction. Careful tagging ensured accuracy for training document understanding algorithms. • Tagged named entities and extracted core information from documents. • Supported NER and information extraction pipeline development. • Maintained accuracy and structure in document annotation work. • Assisted in building datasets for document intelligence use cases.

Not specified

Text Labeling Project (AI Data Labeling & Annotation Training)

TextClassification
I carried out text labeling projects involving tasks such as sentiment analysis and text classification. I maintained consistency while annotating large textual datasets for AI language model training. High data quality was ensured through careful adherence to instructions. • Handled sentiment analysis and classification on diverse text sources. • Delivered consistent annotation on dataset labeling assignments. • Followed detailed project guidelines for text labeling quality. • Assisted with text-based AI model data pipeline preparation.

I carried out text labeling projects involving tasks such as sentiment analysis and text classification. I maintained consistency while annotating large textual datasets for AI language model training. High data quality was ensured through careful adherence to instructions. • Handled sentiment analysis and classification on diverse text sources. • Delivered consistent annotation on dataset labeling assignments. • Followed detailed project guidelines for text labeling quality. • Assisted with text-based AI model data pipeline preparation.

Not specified

Image Annotation Project (AI Data Labeling & Annotation Training)

ImageBounding Box
I performed image annotation using bounding box and segmentation methods for AI dataset creation. I ensured labeling accuracy by strictly following provided project guidelines. My focus was on high-quality data production for computer vision training needs. • Applied bounding box and segmentation techniques to various image datasets. • Followed labeling quality standards to maximize consistency and accuracy. • Collaborated during training and practice exercises under guidance. • Supported computer vision model development by providing clean annotated data.

I performed image annotation using bounding box and segmentation methods for AI dataset creation. I ensured labeling accuracy by strictly following provided project guidelines. My focus was on high-quality data production for computer vision training needs. • Applied bounding box and segmentation techniques to various image datasets. • Followed labeling quality standards to maximize consistency and accuracy. • Collaborated during training and practice exercises under guidance. • Supported computer vision model development by providing clean annotated data.

Not specified

Education

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Work History

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