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Malatesh Shiddagiri

Data Labeler & Annotator – Tomato Leaf Disease Detection System

India flagbengaluru, India
$2.00/hrEntry LevelOtherData Annotation Tech

Key Skills

Software

Other
Data Annotation TechData Annotation Tech

Top Subject Matter

Plant Disease Detection
General Computer Vision

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding Box
Text Summarization
Fine Tuning
Transcription
Computer Programming Coding
Text Generation
Classification

Freelancer Overview

Data Labeler & Annotator – Tomato Leaf Disease Detection System. Core strengths include OpenCV and Other. Education includes Bachelor of Technology, KLE Institute of Technology, Hubli (2022). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Entry LevelEnglishKannadaHindi

Labeling Experience

AI/ML Data Annotation Specialist

OtherImageBounding Box
Managed the data lifecycle pipeline including acquisition, cleaning, labeling, and validation for supervised learning in various computer vision projects. Performed annotation using bounding box, polyline, and segmentation approaches to prepare datasets for model training and evaluation. Utilized Python-based ecosystem and internal tools to conduct data labeling for image-based machine learning workflows. • Experience with multiple annotation types for computer vision. • Ensured adherence to quality standards in dataset preparation. • Applied annotations for tasks like object detection and classification. • Supported model optimization by providing accurate, labeled datasets.

Managed the data lifecycle pipeline including acquisition, cleaning, labeling, and validation for supervised learning in various computer vision projects. Performed annotation using bounding box, polyline, and segmentation approaches to prepare datasets for model training and evaluation. Utilized Python-based ecosystem and internal tools to conduct data labeling for image-based machine learning workflows. • Experience with multiple annotation types for computer vision. • Ensured adherence to quality standards in dataset preparation. • Applied annotations for tasks like object detection and classification. • Supported model optimization by providing accurate, labeled datasets.

2021 - Present

Data Labeler & Annotator – Tomato Leaf Disease Detection System

ImageBounding Box
Curated and annotated a comprehensive image dataset for deep learning model training focused on tomato leaf disease detection. Manually labeled images using bounding box and segmentation techniques to enhance classification accuracy. Enhanced the robustness of the dataset through careful image augmentation and validation steps. • Labeled thousands of plant leaf images for disease recognition. • Applied manual annotation for both bounding box and segmentation. • Ensured data quality via consistent validation and pre-processing. • Used OpenCV and Python-based tools throughout the project.

Curated and annotated a comprehensive image dataset for deep learning model training focused on tomato leaf disease detection. Manually labeled images using bounding box and segmentation techniques to enhance classification accuracy. Enhanced the robustness of the dataset through careful image augmentation and validation steps. • Labeled thousands of plant leaf images for disease recognition. • Applied manual annotation for both bounding box and segmentation. • Ensured data quality via consistent validation and pre-processing. • Used OpenCV and Python-based tools throughout the project.

2022 - 2023

Education

K

KLE Institute of Technology, Hubli

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2022

Work History

O

outlier

data labelling

bengaluru
2025 - 2026