Arbabi R

Key Skills

Software

CVAT

Mindrift

Labelbox

Label Studio

Top Subject Matter

No subject matter listed

Top Data Types

3D Sensor

Top Task Types

Bounding Box

Polygon

Segmentation

Cuboid

Object Detection

Freelancer Overview

I have hands-on experience in AI training data and 3D data annotation, particularly in point cloud processing and object recognition tasks. I have worked on projects involving LiDAR and scanned 3D datasets, where I contributed to labeling, structuring, and preparing high-quality datasets for machine learning models. My work included identifying and classifying structural elements in complex environments, ensuring accuracy and consistency in annotations. In addition, I have worked with Python-based tools and have been involved in machine learning-related projects, which helped me understand how data quality affects model outcomes. I am detail-oriented and comfortable following structured annotation guidelines to ensure consistency and accuracy across datasets.

Labeling Experience

3D LiDAR Point Cloud Annotation for Structural Object Detection

CVAT3D SensorBounding BoxPolygon

I contributed to a 3D LiDAR point cloud annotation project focused on detecting and classifying structural elements within scanned environments. The project involved labeling large-scale point cloud datasets using cuboid annotations and segmentation techniques to prepare training data for object detection models. My responsibilities included identifying structural components, ensuring spatial accuracy of bounding volumes, and maintaining consistency across large datasets. Quality control procedures were followed carefully, including cross-checking annotations and adhering to predefined labeling guidelines to ensure data reliability and objectivity.

I contributed to a 3D LiDAR point cloud annotation project focused on detecting and classifying structural elements within scanned environments. The project involved labeling large-scale point cloud datasets using cuboid annotations and segmentation techniques to prepare training data for object detection models. My responsibilities included identifying structural components, ensuring spatial accuracy of bounding volumes, and maintaining consistency across large datasets. Quality control procedures were followed carefully, including cross-checking annotations and adhering to predefined labeling guidelines to ensure data reliability and objectivity.

2021 - 2024

Education

Work History