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黄晖

黄晖

Seismic First Break Point Data Labeling and Refinement (DeepFBT Project)

Singapore flagChengdu, Singapore

Key Skills

Software

No software listed

Top Subject Matter

Seismic Data Processing

Top Data Types

ImageImage
Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

SegmentationSegmentation
ClassificationClassification
Object DetectionObject Detection

Freelancer Overview

Seismic First Break Point Data Labeling and Refinement (DeepFBT Project). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, 成都理工大学 (2024) and Bachelor of Science, 哈尔滨师范大学 (2024). AI-training focus includes data types such as Geospatial and Tiled Imagery and labeling workflows including Point and Key Point.

Labeling Experience

Seismic First Break Point Data Labeling and Refinement (DeepFBT Project)

Point/Key PointPoint/Key Point

I participated in the process of labeling seismic data for first break point picking and result refinement. The workflow involved reading raw SEG-Y seismic data, performing both manual and automatic picking of first arrivals, and integrating user corrections to improve label quality. Automated label refinement was achieved through local window extremum search and post-processing. • Labeled seismic waveform data to identify and mark first break points. • Used manual annotation and AI-assisted methods for hybrid labeling. • Employed custom tools built with C++17, Qt, and OpenCV for data visualization and interaction. • Ensured results were refined through iterative user and automated corrections.

2025 - Present

Education

哈尔滨师范大学

Bachelor of Science, Data Science and Big Data Technology

Bachelor of Science
2020 - 2024

成都理工大学

Master of Science, Artificial Intelligence

Master of Science
2024

Work History

D

DeepFBT

C++/Qt Software Engineer

Chengdu
2025 - Present