Campus risk detection using the S-YOLOv10-SIC network and a self-calibrated illumination algorithm
Abstract In order to realize intelligent and accurate campus risk detection, this paper proposes an improved YOLOv10 algorithm that integrates self-calibrated illumination algorithm. The algorithm optimizes the loss function by introducing an auxiliary bounding box, and accelerates model convergence...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-08924-0 |
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