Expired60% confidenceFactExact time
YOLOv5 was engineered and implemented by the Ultralytics team.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedYOLOv8 has been officially renamed Ultralytics and shares the same author as YOLOv5.80% similarUnverifiedYOLOv8 骨干网络引入C2f模块，其设计灵感来源于YOLOv7的ELAN结构，通过通道维度分割后多路并行卷积再拼接扩大感受野66% similarUnverifiedYOLO11n is the latest-generation nano-scale variant of the Ultralytics YOLO series, with an extremely small parameter count, designed specifically for edge inference.64% similarUnverifiedYOLOv8 and YOLOv11 are the current mainstream YOLO versions, maintained by Ultralytics, and can process video streams at over 30 FPS on consumer-grade GPUs.63% similarUnverifiedFor engineering-oriented OSINT learners, it is recommended to use YOLOv8 as an out-of-the-box object detection framework and PyTorch as the preferred framework.61% similar
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