X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments
Summary
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments is a scholarly article[1].
Key Facts
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/x-mas-extremely-large-scale-multi-modal-sensor-dataset-for-outdoor-surveillance-in-real-environments
MLA“X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/x-mas-extremely-large-scale-multi-modal-sensor-dataset-for-outdoor-surveillance-in-real-environments.
BibTeX@misc{4ortxyz_x-mas-extremely-large-scale-multi-modal-sensor-dataset-for-outdoor-surveillance-in-real-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments}}, year = {2026}, url = {https://4ort.xyz/entity/x-mas-extremely-large-scale-multi-modal-sensor-dataset-for-outdoor-surveillance-in-real-environments}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments — https://4ort.xyz/entity/x-mas-extremely-large-scale-multi-modal-sensor-dataset-for-outdoor-surveillance-in-real-environments (retrieved 2026-05-24)