Verified claim · AI-ML · 82% confidence
Faster R-CNN introduced in paper: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Ren et al., 2015).
Last verified 2026-06-02 · Methodology veritas-v0.1 · 9e2b45736210b8a4
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Structured fields
- Subject
- Faster R-CNN
- Predicate
introduced_in_paper- Object
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Ren et al., 2015)
- Confidence
- 82%
- Tags
- faster-rcnn · object-detection · region-proposal-network · rpn · ren · girshick · foundational · 2015
Sources (2)
[1] preprint · arXiv (Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun) · 2015-06-04
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks“In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals. An RPN is a fully convolutional network that simultaneously predicts object bounds and objectness scores at each position.”
[2] docs · Hugging Face
Faster R-CNN (Hugging Face Papers)Hugging Face is rated by SourceScore — see its reliability →
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Frequently asked questions
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Yes — SourceScore verified this claim with 82% confidence as of 2026-06-02. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.
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Evidence comes from 2 primary sources: arXiv (Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun), Hugging Face. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/9e2b45736210b8a4.json includes an HMAC-SHA256 signature for audit verification.
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// "Faster R-CNN introduced in paper: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Ren et al., 2015)."Python
import httpx
r = httpx.get("https://sourcescore.org/api/v1/claims/9e2b45736210b8a4.json")
envelope = r.json()
print(envelope["claim"]["statement"])
# "Faster R-CNN introduced in paper: Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (Ren et al., 2015)."LangChain (retrieve-then-cite)
from langchain_core.tools import tool
import httpx
@tool
def get_faster_r_cnn_fact() -> dict:
"""Fetch the verified SourceScore claim for Faster R-CNN."""
r = httpx.get("https://sourcescore.org/api/v1/claims/9e2b45736210b8a4.json")
return r.json()