Ardhana P.

Key Skills

Software

Roboflow

CVAT

Labelbox

Top Subject Matter

Artificial Intelligence - Computer Vision & Model Evaluation

Transportation - Traffic Monitoring & Vehicle Analytics

Geospatial Technology - Mapping, Homography & Spatial Analysis

Top Data Types

Image

Video

Text

Top Task Types

Bounding Box

Polygon

Segmentation

Classification

Object Detection

Fine-tuning

Freelancer Overview

I have hands-on experience preparing AI training data for computer vision projects, including labeling 2,000+ vehicle images across classes such as cars, motorcycles, buses, and trucks, while handling occlusion, angle, resolution, and lighting variations. I have also used YOLOv8-assisted filtering to build cleaner datasets for traffic monitoring and depth estimation research. What sets me apart is that I understand the full AI data pipeline, from annotation and quality checking to model training, evaluation, and error analysis. My background in computer vision, PyTorch, OpenCV, object detection, and adversarial AI helps me label data accurately and consistently with real model performance in mind.

Labeling Experience

IT Officer Intern

ImageBounding Box

I supported a traffic management computer vision project by labeling and reviewing 2,000+ traffic images for vehicle detection, counting, classification, and speed estimation. My tasks included annotating cars, motorcycles, buses, and trucks across different angles, resolutions, lighting conditions, and occlusion cases. I followed quality measures such as consistent class definitions, accurate bounding boxes, label consistency checks, low-quality image removal, and manual validation of detection results.

2024 - 2024

Education

Work History