Unverified50% confidenceFactExact time
The system uses a custom-trained YOLO11s-OBB model specifically for detecting javelins.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedYOLOv8-OBB is the oriented object detection variant of YOLOv8; its detection head outputs 5 parameters (cx, cy, w, h, θ), uses Rotated IoU as the training objective, and employs Rotated NMS in post-processing.76% similarVerifiedThe YOLO series of object detection models has evolved from V1 to V11.72% similarUnverifiedYOLOv8是Ultralytics推出的目标检测模型,以速度与精度的均衡表现广受认可67% similarUnverified@ai-sdk/harness leans toward a testing and evaluation framework, used to verify the performance of AI models and toolchains across various scenarios.64% similarUnverified自动标注管线常见架构是将目标检测模型(如 YOLO 系列、DINO、Grounding DINO)与 SAM 级联,先产出边界框再作为提示输入 SAM 获取精细掩膜64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/900344API
curl https://kongchang.com/api/v1/knowledge/claims/900344MCP
get_claim(id=900344)