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AWS SageMaker
Data Annotation Tech
CrowdSource
Labelbox
Video
Image
Text
Object Detection
Classification
Question Answering
Evaluation/Rating
Point/Key PointWith over 3 years of experience in data annotation and AI training data processing, I specialize in building high-quality datasets in computer vision and natural language processing. I am proficient in annotation standards for image classification, object detection, semantic segmentation, OCR text recognition, and dialogue data cleaning. I have led multiple large-scale annotation projects, annotating/reviewing over 500,000 data entries while ensuring an accuracy rate of over 98%. I am familiar with mainstream annotation tools such as LabelStudio, CVAT, and Doccano, and possess some Python scripting automation capabilities to effectively improve annotation efficiency. In projects, I emphasize annotation consistency and edge case handling. I have provided high-quality training data support to several AI companies, significantly improving model performance. I have strong learning abilities and a strong sense of responsibility, and can quickly adapt to new annotation standards and domain knowledge. I look forward to transforming my professional experience into efficient AI training support.
VideoObject DetectionParticipated in a large-scale video data annotation project for an autonomous driving company, responsible for the fine annotation of multi-object detection data in road scenes. The project processed more than 200 hours of high-definition driving video data, covering various scenarios such as urban roads, highways, complex intersections, nighttime, and inclement weather.
Associate Degree, Digital Media Art and Design
Bachelor’s Degree, Computer Science
Information Marker
Live Event Shooting and Media Production Assistant
