Data Labeling Intern - Vehicle Recognition Datasets
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ClassificationParticipated in data labeling tasks to ensure data accuracy and quality. Led and contributed to data labeling for vehicle recognition datasets, strictly following labeling specifications to complete classification and annotation tasks. Processed over 1,000 data entries with a labeling accuracy rate exceeding 98%, providing high-quality data support for subsequent algorithm model training. • Completed extensive image labeling for vehicle recognition • Maintained quality above 98% accuracy • Executed classification and annotation per guidelines • Supported model training with high-quality labeled data
2025 - 2025