Fine-Tuned YOLO Model for Monitoring Children Across Medical Scenes Based on a Large-Scale Real-World Dataset for Children Detection
Accurate detection and monitoring of children in medical settings using computer vision systems present unique challenges due to anatomical differences, environmental complexity, and stringent privacy constraints. This paper introduces YOLOCDD, a fine-tuned YOLOv11-based model optimized for child de...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2025-01-01
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| シリーズ: | IEEE Access |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/11078264/ |
| タグ: |
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