492579299Chen/Dataset-Night: YOLO-VSS Low-Light Object Detection Dataset v1.0.0
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| Formato: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901742396899328 |
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| author | 492579299Chen |
| author_facet | 492579299Chen |
| contents | <p>We release the primary dataset for the YOLO-VSS architecture. We construct these image samples to evaluate object perception under extreme optical degradation. We apply a Poisson-Gaussian heteroscedastic noise model to replicate the photon-starved physical response of edge CMOS sensors. We provide bounding box annotations for concealed targets, specifically handguns and knives, in standard YOLO format. We design this repository to help researchers reproduce the hardware-constrained object detection experiments detailed in our IEEE Internet of Things Journal submission. We trigger this initial release to generate a persistent DOI through the Zenodo integration platform.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19630398 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | 492579299Chen/Dataset-Night: YOLO-VSS Low-Light Object Detection Dataset v1.0.0 492579299Chen <p>We release the primary dataset for the YOLO-VSS architecture. We construct these image samples to evaluate object perception under extreme optical degradation. We apply a Poisson-Gaussian heteroscedastic noise model to replicate the photon-starved physical response of edge CMOS sensors. We provide bounding box annotations for concealed targets, specifically handguns and knives, in standard YOLO format. We design this repository to help researchers reproduce the hardware-constrained object detection experiments detailed in our IEEE Internet of Things Journal submission. We trigger this initial release to generate a persistent DOI through the Zenodo integration platform.</p> |
| title | 492579299Chen/Dataset-Night: YOLO-VSS Low-Light Object Detection Dataset v1.0.0 |
| url | https://doi.org/10.5281/zenodo.19630398 |