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YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems

Research article (2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023) · cited 30× · AI/ML
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YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems

Summary

YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems is a scholarly article[1].

Key Facts

  • YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/yolobench-benchmarking-efficient-object-detectors-on-embedded-systems
MLA “YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/yolobench-benchmarking-efficient-object-detectors-on-embedded-systems.
BibTeX @misc{4ortxyz_yolobench-benchmarking-efficient-object-detectors-on-embedded-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems}}, year = {2026}, url = {https://4ort.xyz/entity/yolobench-benchmarking-efficient-object-detectors-on-embedded-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): YOLOBench: Benchmarking Efficient Object Detectors on Embedded Systems — https://4ort.xyz/entity/yolobench-benchmarking-efficient-object-detectors-on-embedded-systems (retrieved 2026-05-24)

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