Unverified50% confidenceFactExact time
COCO 数据集包含约12万张训练图像、80个类别、超过150万个目标实例，由微软研究院发布
1
Sources
50%
Confidence
Long-term
Relevance
7/13/2026
First Seen
Sources
Introducing Consistency Regularization to YOLOv8: Principles, Practice, and Performance Trade-offs
redditr/learnmachinelearning7/11/2026
Related Claims
UnverifiedThe MNIST dataset contains 60,000 training images and 10,000 test images, each a 28×28 pixel grayscale image of a handwritten digit.71% similarUnverifiedHuggingFace currently hosts more than 500,000 pre-trained models and 100,000 datasets.67% similarUnverified该实验使用175张训练图和132张测试图的小规模数据集67% similarUnverifiedxAI has built the Colossus 2000MW-class training cluster and is training Block5 versions with 6 trillion and 12 trillion parameters.66% similarUnverifiedCIFAR-10 is an image classification benchmark dataset released by Alex Krizhevsky and Geoffrey Hinton in 2009, containing 60,000 32×32 pixel color images across 10 categories, with 50,000 for training and 10,000 for testing.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/500531API
curl https://kongchang.com/api/v1/knowledge/claims/500531MCP
get_claim(id=500531)