NETHAJI PA

Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Segmentation

Classification

Freelancer Overview

I am an AI and Data Science undergraduate with hands-on experience in computer vision, machine learning, and big data analytics. My academic projects have given me practical exposure to data collection, annotation, and processing, particularly in domains like precision agriculture and robotics. I have worked extensively with Python and OpenCV for image segmentation and object detection tasks, and have experience handling large-scale datasets using tools like Apache Spark and HDFS. My strong problem-solving skills, attention to detail, and familiarity with data pipelines make me well-suited for roles involving data labeling, annotation, and AI training data preparation. I am committed to delivering high-quality, accurate datasets that support robust machine learning models.

Labeling Experience

Academic Image Annotation & Object Labeling (Computer Vision Project)

Opencv AI Kit OakImageBounding BoxSegmentation

Performed manual image annotation and labeling as part of an academic computer vision project. Tasks included identifying and labeling objects, drawing bounding boxes and segmentation regions, and validating annotations to ensure accuracy and consistency. Worked with image datasets used for object detection and segmentation models, following defined labeling guidelines and handling edge cases such as partial visibility and occlusions. Emphasized quality control through careful review of annotations to support reliable AI model training.

Performed manual image annotation and labeling as part of an academic computer vision project. Tasks included identifying and labeling objects, drawing bounding boxes and segmentation regions, and validating annotations to ensure accuracy and consistency. Worked with image datasets used for object detection and segmentation models, following defined labeling guidelines and handling edge cases such as partial visibility and occlusions. Emphasized quality control through careful review of annotations to support reliable AI model training.

2024 - 2024

Education

Work History