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Vo Vo

Vo Vo

Image Classification Training and Annotation - BinSight Project

Indonesia flagJakarta, Indonesia
$20.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

Waste Classification/Environmental AI
Medical Imaging/Lung Cancer Detection

Top Data Types

ImageImage

Top Task Types

Classification

Freelancer Overview

Image Classification Training and Annotation - BinSight Project. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Bina Nusantara University (2022). AI-training focus includes data types such as Image, Medical, and DICOM and labeling workflows including Classification.

IntermediateEnglishIndonesian

Labeling Experience

Image Classification Training and Annotation - BinSight Project

OtherImageClassification
I trained an image classification model using CreateML on a dataset of over 10,000 images. The project involved manually curating and segmenting images across 12 classes to improve model performance. Extensive preprocessing and evaluation steps were performed to reach a high accuracy level and on-device efficiency. • Created and labeled a diverse image dataset for waste classification. • Applied image segmentation techniques to enhance annotation quality. • Trained, evaluated, and iteratively refined the CreateML image classifier. • Validated model performance with rigorous testing and result analysis.

I trained an image classification model using CreateML on a dataset of over 10,000 images. The project involved manually curating and segmenting images across 12 classes to improve model performance. Extensive preprocessing and evaluation steps were performed to reach a high accuracy level and on-device efficiency. • Created and labeled a diverse image dataset for waste classification. • Applied image segmentation techniques to enhance annotation quality. • Trained, evaluated, and iteratively refined the CreateML image classifier. • Validated model performance with rigorous testing and result analysis.

2025 - 2025

Medical Image Annotation and Model Training - Academic Project

OtherClassification
As part of an academic project, I contributed to developing and improving ML models for lung cancer image detection. This required gathering labeled medical images and applying training and validation steps on established neural network architectures. The work focused on enhancing classification accuracy through model tuning and dataset preparation. • Prepared and annotated medical images for ML model input. • Utilized neural networks such as ResNet50, CNN16, and MobileNet for experimentation. • Performed data preprocessing and cleansing for improved model training. • Evaluated final classification accuracy and contributed to iterative enhancements.

As part of an academic project, I contributed to developing and improving ML models for lung cancer image detection. This required gathering labeled medical images and applying training and validation steps on established neural network architectures. The work focused on enhancing classification accuracy through model tuning and dataset preparation. • Prepared and annotated medical images for ML model input. • Utilized neural networks such as ResNet50, CNN16, and MobileNet for experimentation. • Performed data preprocessing and cleansing for improved model training. • Evaluated final classification accuracy and contributed to iterative enhancements.

Not specified

Education

B

Bina Nusantara University

Bachelor of Science, Computer Science

Bachelor of Science
2022

Work History

A

Apple Developer Institute

iOS Engineer

Jakarta
2026 - 2026
A

Apple Developer Academy

Junior iOS Developer

Jakarta
2025 - 2025