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CVAT
Label Studio
Image
Text
Segmentation
ClassificationAlthough I don’t have a computer science background, I’ve developed a strong passion for AI training data and proactively learned data labeling standards and workflows. I’ve completed labeling practice on over 10,000 image and text datasets through open-source projects, and summarized a self-inspection method to improve labeling consistency during the process. I can quickly understand task requirements, pay close attention to details, and am willing to refine data quality patiently. Meanwhile, I actively use online tools and scripts to boost my efficiency, and I’m eager to provide reliable training data for AI models.
ImageSegmentationIndependently completed labeling and verification of 10,000+ open-source image and text datasets, mastered segmentation and classification annotation rules, and summarized a self-check method that improved labeling consistency to over 92%. Proficient in using mainstream annotation tools and able to quickly adapt to new task requirements.
Bachelor of Architecture, Architecture
Partner
Project Manager
