【资料集合】图像分类与检测领域常用数据集汇总 图像分类与检测领域常用数据集汇总 图像分类与检测领域常用数据集 数据库 图像数目 类别数目 每类图像数目 图像大小(pixel) 数据库论文(点击即可获取论文,如果无法下载,推荐使用SCI-HUB) MNIST 60000 10 6000 28x28 Gradient-based learning applied to document recognition CIFAR-10 60000 10 6000 32x32 Learning multiple layers of features from tiny images MPEG-7 1400 70 20 256x256-650x600 Shape descriptors for non-rigid shapes with a single closed contour 15 Scenes 4485 15 200-400 约 300x250 Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories Caltech-101 9146 101 40-800 约 300x200 Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories Caltech-256 30607 256 >80 约 300x200 Caltech-256 object category dataset PASCAL VOC 2007 9963 20 96-2008 约 470x380 The PASCAL Visual Object Classes (VOC) Challenge SUN397 108754 397 >100 约 500x300 Sun database: Large-scale scene recognition from abbey to zoo SUN2012 16873 8 2000 约 500x300 Sun database: Large-scale scene recognition from abbey to zoo Tiny Images 7900万 75062 - 32x32 80 million tiny images: A large data set for nonparametric object and scene recognition ImageNet-1000 120万 1000 - 约 500x400 Imagenet: A large-scale hierarchical image database ImageNet 1400万 10万 1000 约 500x400 Imagenet: A large-scale hierarchical image database 欢迎关注公众号:一刻AI 参考文献:黄凯奇, 任伟强, 谭铁牛. 图像物体分类与检测算法综述[J]. 计算机学报, 2014, 37(6): 1225-1240.