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Jerrico Escoreal

Jerrico Escoreal

Experienced Image Labeler and Data Annotator

PHILIPPINES flag
Davao, Philippines
$15.00/hrIntermediateCVATLabelboxLabelimg

Key Skills

Software

CVATCVAT
LabelboxLabelbox
LabelImgLabelImg
Label StudioLabel Studio
RoboflowRoboflow

Top Subject Matter

Fruit Maturity Image Clasification
Aerial Image Classification
Multi-label Image Classification

Top Data Types

Geospatial Tiled ImageryGeospatial Tiled Imagery
ImageImage
VideoVideo

Top Label Types

Bounding Box
Classification
Computer Programming Coding
Object Detection
Polygon

Freelancer Overview

I have a great deal of experience with AI training data and data labeling, especially in the area of aerial and multi-label image classification. To improve the accuracy of labeled datasets, I created and enforced annotation guidelines, carried out quality assurance inspections, and resolved class imbalances. My ability to integrate labeled data into machine learning pipelines and adjust to changing project needs demonstrate my ability to effectively contribute to the construction of reliable models. My project management, communication, and problem-solving abilities have improved as a result of this experience, and I am now more prepared to handle the challenges presented by tasks using AI training data.

Intermediate

Labeling Experience

CVAT

Aerial Image Classification for Drones

CVATImageBounding BoxSegmentation
As part of a collaborative effort to advance drone technology, I contributed to a data labeling project focused on aerial image classification. The goal was to enhance the capabilities of computer vision models, enabling drones to accurately identify and respond to various objects and scenarios in real-world environments such as trees, buildings, body of water, etc.

As part of a collaborative effort to advance drone technology, I contributed to a data labeling project focused on aerial image classification. The goal was to enhance the capabilities of computer vision models, enabling drones to accurately identify and respond to various objects and scenarios in real-world environments such as trees, buildings, body of water, etc.

2022 - 2022

Education

U

University of the Philippines

Bachelor of Science in Computer Science, Computer Science

Bachelor of Science in Computer Science
2015 - 2023

Work History

L

Leet DIgitals

Front-end Web Developer

Davao
2019 - 2019