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Diorlo Eyas

Diorlo Eyas

Expert in AI computer vision data labeling for self-driving cars.

Philippines flagAmlan (Ayuquitan), Philippines
$5.00/hrIntermediateRemotasksScale AI

Key Skills

Software

RemotasksRemotasks
Scale AIScale AI

Top Subject Matter

Self Driving Car Lidar
Phyton Coding
Satellite Roof Anotation

Top Data Types

3D Sensor

Top Task Types

Bounding BoxBounding Box

Freelancer Overview

I have extensive experience in data labeling and AI training, specializing in creating high-quality datasets that fuel machine learning models. My expertise includes annotating various types of data, such as images, text, and audio, with a strong focus on accuracy, consistency, and meeting project-specific requirements. I have worked on diverse projects, ranging from natural language processing tasks like sentiment analysis and entity recognition to computer vision projects involving image classification and object detection. What sets me apart is my keen attention to detail and my ability to understand the nuances of complex data. I am skilled in using a wide range of labeling tools and platforms and have a deep understanding of the importance of balanced and unbiased datasets. My ability to adapt to different project needs and collaborate effectively with AI engineers and data scientists has consistently resulted in successful and impactful AI models.

IntermediateEnglish

Labeling Experience

Scale AI

3D Lidar Annotation

Scale AI3D SensorCuboid
In a project focused on autonomous self-driving cars, I contributed to the development of AI models by meticulously labeling and annotating vast amounts of driving-related data. This involved working with diverse data types, including video footage from onboard cameras, LIDAR scans, and sensor readings. My role was critical in identifying and labeling key elements such as road signs, lane markings, pedestrians, vehicles, and other obstacles, which are essential for training the AI to navigate safely and effectively.

In a project focused on autonomous self-driving cars, I contributed to the development of AI models by meticulously labeling and annotating vast amounts of driving-related data. This involved working with diverse data types, including video footage from onboard cameras, LIDAR scans, and sensor readings. My role was critical in identifying and labeling key elements such as road signs, lane markings, pedestrians, vehicles, and other obstacles, which are essential for training the AI to navigate safely and effectively.

2019 - 2024

Education

N

Negros Oriental State University

Bachelor's of Secondary Education, Education

Bachelor's of Secondary Education
2020 - 2022
S

School not specified

Degree not specified

Not specified
Not specified

Work History

S

Scale AI

Data Annotator

Tanjay
2019 - 2024