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Nalini Raut

Agriculture Data Annotation Specialist

INDIA flag
Yavatmal, India
ExpertLabelboxData Annotation TechTelus

Key Skills

Software

LabelboxLabelbox
Data Annotation TechData Annotation Tech
TelusTelus

Top Subject Matter

Agriculture: Crop health
Pest Domain Expertise
Disease Domain Expertise

Top Data Types

ImageImage
VideoVideo
TextText

Top Task Types

Classification
RLHF
Evaluation Rating
Object Detection
Data Collection
Transcription
Prompt Response Writing SFT

Freelancer Overview

Agriculture Data Annotation Specialist. Core strengths include Labelbox. Education includes Master of Science in Agriculture, Dr. Panjabrao Deshmukh Agriculture University and Bachelor of Science in Agriculture, Dr. Panjabrao Deshmukh Agriculture University. AI-training focus includes data types such as Image and labeling workflows including Classification.

ExpertMarathiHindiEnglish

Labeling Experience

Labelbox

Agriculture Data Annotation Specialist

LabelboxImageClassification
I performed data preprocessing, augmentation, and annotation of agricultural image datasets to support AI-based pest, disease, and weed detection. Images from datasets such as Plant Village and drone imagery were manually labeled and curated to enable machine learning applications. The annotation work focused on supporting precision agriculture and automated diagnosis systems. • Labeled leaf images for crop pest, disease, and weed identification • Curated and annotated geospatial drone imagery for weed mapping • Utilized both manual and software-assisted methods for data cleaning and quality control • Focused on supporting automated farming technology through accurate dataset labeling

I performed data preprocessing, augmentation, and annotation of agricultural image datasets to support AI-based pest, disease, and weed detection. Images from datasets such as Plant Village and drone imagery were manually labeled and curated to enable machine learning applications. The annotation work focused on supporting precision agriculture and automated diagnosis systems. • Labeled leaf images for crop pest, disease, and weed identification • Curated and annotated geospatial drone imagery for weed mapping • Utilized both manual and software-assisted methods for data cleaning and quality control • Focused on supporting automated farming technology through accurate dataset labeling

2022 - Present

Education

D

Dr. Panjabrao Deshmukh Agriculture University

Bachelor of Science in Agriculture, Agriculture

Bachelor of Science in Agriculture
Not specified
D

Dr. Panjabrao Deshmukh Agriculture University

Master of Science in Agriculture, Agronomy

Master of Science in Agriculture
Not specified

Work History

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