Raditya Adi Santoso

Key Skills

Software

Roboflow

Supervisely

Top Subject Matter

No subject matter listed

Top Data Types

Image

Top Label Types

Bounding Box

Segmentation

Freelancer Overview

I am a highly motivated Information Technology graduate with hands-on experience in UI/UX design, web development, and computer vision, including a deep learning-based traffic density classification project using YOLOX and SegFormer. My background includes collaborating with cross-functional teams to develop user-friendly interfaces and detailed documentation, as well as conducting user research and usability testing. I am skilled in tools such as Figma, Excel, and programming languages relevant to data processing and annotation. My strong attention to detail, technical proficiency, and experience in mentoring and guiding others make me well-suited for data labeling and AI training data roles, especially in domains like computer vision, e-commerce, and networking. I am eager to contribute to high-quality data annotation projects and support the development of reliable AI systems.

Labeling Experience

Deep Learning-Based Traffic Density Classification Using YOLOX and SegFormer

SuperviselyImageBounding BoxSegmentation

Annotated traffic images with precise bounding boxes for Motorcycle and Car classes in COCO format. The dataset was used to train YOLOX for vehicle detection and SegFormer for road segmentation. Applied strict validation to ensure accurate labeling and reliable model evaluation.

Annotated traffic images with precise bounding boxes for Motorcycle and Car classes in COCO format. The dataset was used to train YOLOX for vehicle detection and SegFormer for road segmentation. Applied strict validation to ensure accurate labeling and reliable model evaluation.

2025 - 2025

Education

Work History