Waragoda Gedara

Key Skills

Software

Appen

Clickworker

CVAT

Data Annotation Tech

Labelbox

Remotasks

Scale AI

Toloka

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Action Recognition

Classification

Data Collection

Mapping

Text Summarization

Freelancer Overview

Over the past 3 years, I have gained practical experience in data labeling and AI training, with experience in these areas in such areas as text, image, audio, and video. I have also made contributions to the machine learning process through platforms such as Scale AI, Appen and Lionbridge where I have actively labeled data in natural language processing (NLP), computer vision, and speech recognition tasks. My efforts helped in the fields of online chatbot training, self-driving cars, online shopping labeling, and sentiment mining. My advantages over other applicants would be my high focus on details, my excellent QA scores (9899% of the total), and my willingness to be fast when it comes to learning and adapting new project guidelines and tools (Labelbox, CVAT, Amazon SageMaker Ground Truth, etc). I am also a great data entry worker and customer care officer, which enhances my knowledge on how to interpret and organize information in a clear manner. I pride myself in the ability to provide quality labeled data that directly contributes to the increase of the system model performance.

Labeling Experience

object detection in traffic scenes

Scale AIImageBounding BoxPolygon

Identified cars, people, road signs, and lane markers in single frames of a video capturing using dashcams. Employed bounding boxes and segmentation tools to make precise annotations about each object to be used in training the computers vision models that are used in self drive cars. Ensured consistency in the frames and also ensured accuracy was high with regard to the accuracy of annotations.

Identified cars, people, road signs, and lane markers in single frames of a video capturing using dashcams. Employed bounding boxes and segmentation tools to make precise annotations about each object to be used in training the computers vision models that are used in self drive cars. Ensured consistency in the frames and also ensured accuracy was high with regard to the accuracy of annotations.

2023 - 2023

Education

Work History