Expired80% confidenceFactExact time
ResNet won the ImageNet competition with a top-5 error rate of 3.57%, surpassing human-level performance (approximately 5.1%) for the first time.
6
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
PyTorch Image Classification in Practice: Complete Pipeline from Data Preprocessing to Model Training
bilibili程序员是魔法师AI-bx6/17/2026
Related Claims
VerifiedIn 2012, AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) by a margin of nearly 11 percentage points over the second-place entry, reducing the Top-5 error rate from 26% to 15.3%67% similarUnverified2012年Alex Krizhevsky等人使用AlexNet在ImageNet竞赛中将top-5错误率从26%降低到15.3%,该突破基于两块GTX 580显卡的CUDA加速训练实现62% similarUnverifiedThe previous-generation Sonnet 4.5 scored 61.4% on the OSWorld Verified benchmark.61% similarUnverifiedEfficientNet 从 B0 到 B7,模型参数从 5.3M 增长到 66M,Top-1 精度从 77.1% 提升到 84.3%61% similarUnverifiedOne meta-agent variant achieved the highest Avg@3 reward on five of the six benchmarks.58% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/45211API
curl https://kongchang.com/api/v1/knowledge/claims/45211MCP
get_claim(id=45211)