陈高思衡

Key Skills

Software

Other

Top Subject Matter

Computer vision object detection (pedestrian, small-object, multimodal RGB-IR)

Top Data Types

Image

Top Task Types

Bounding Box

Freelancer Overview

Computer Vision Research - Data Annotation and Annotation Checking (part of research). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Master of Science, Waseda University (2025) and Bachelor of Science, Waseda University (2025). AI-training focus includes data types such as Image and labeling workflows including Bounding Box.

Labeling Experience

Computer Vision Research - Data Annotation and Annotation Checking (part of research)

ImageBounding Box

Completed annotation checking for computer vision object detection research projects, focusing on bounding-box label correctness and dataset consistency. Reviewed category labels and ensured image organization supported reliable training/evaluation workflows. Supported dataset cleaning and preparation activities required for model experiments. • Checked object detection annotations and bounding boxes during model training and evaluation. • Verified category labels and dataset consistency across datasets. • Assisted with dataset organization and train/validation split preparation. • Participated in annotation review as part of ablation and experiment comparison cycles.

2023 - 2023

Education

Work History