Murali K.

Key Skills

Software

Label Studio

Roboflow

Top Subject Matter

Agricultural pest detection and object detection (computer vision)

Agricultural pest detection

Agricultural pest control and real-time object detection

Top Data Types

Image

Top Task Types

Bounding Box

Object Detection

Polygon

Classification

Data Collection

Freelancer Overview

AI Dataset Annotation Practice (Self-Practice & Experimental Projects). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Roboflow, and YOLO. Education includes Bachelor of Technology, Sri Krishna Devaraya University College of Engineering & Technology (2024) and Diploma in Electrical and Electronics Engineering, Pvkk Institute of Technology College (2021). AI-training focus includes data types such as Image and labeling workflows including Bounding Box and Object Detection.

Labeling Experience

Vajrakavach Agri Device (Ongoing Project)

RoboflowImageObject Detection

Participates in an ongoing agricultural pest-control AI device project requiring data collection and image annotation planning. Supports object detection experiments by preparing labeled datasets for real-time pest monitoring scenarios. Applies computer vision concepts to improve detection performance for agricultural use cases. • Ongoing image/data annotation planning • Object detection labeling for experiments • Real-time pest monitoring dataset preparation • Iteration of detection experimentation workflow

2025 - Present

AI Dataset Annotation Practice (Self-Practice & Experimental Projects)

Label StudioImageBounding Box

Labeled image datasets using bounding boxes for object detection workflows in a self-practice setting. Focused on maintaining annotation consistency and dataset formatting suitable for training computer vision models. Applied agricultural and pest-related labeling concepts to improve labeling quality for detection tasks. • Image bounding box annotation • Object detection workflow practice • Dataset formatting and consistency checks • Agricultural and general object labeling

2025 - Present

Agricultural Pest Detection Dataset Project

RoboflowImageObject Detection

Built labeled datasets for agricultural pest detection using object detection annotation workflows. Produced training-ready datasets with bounding-box labels and organized them for computer vision model training. Used annotation tools to support consistent labeling across pest-related images and detection use cases. • Pest-related image annotation • Bounding-box/object detection labeling • Dataset organization for training • Preparation for YOLO-format workflows

2024 - 2024

Education

Work History