【資料集合】圖像分類與檢測領域常用數據集匯總

圖像分類與檢測領域常用數據集匯總

 圖像分類與檢測領域常用數據集

數據庫	圖像數目	類別數目	每類圖像數目	圖像大小（pixel）	數據庫論文（點擊即可獲取論文，如果無法下載，推薦使用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	約 300x250	Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
Caltech-101	9146	101	40-800	約 300x200	Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
Caltech-256	30607	256	>80	約 300x200	Caltech-256 object category dataset
PASCAL VOC 2007	9963	20	96-2008	約 470x380	The PASCAL Visual Object Classes (VOC) Challenge
SUN397	108754	397	>100	約 500x300	Sun database: Large-scale scene recognition from abbey to zoo
SUN2012	16873	8	2000	約 500x300	Sun database: Large-scale scene recognition from abbey to zoo
Tiny Images	7900萬	75062	-	32x32	80 million tiny images: A large data set for nonparametric object and scene recognition
ImageNet-1000	120萬	1000	-	約 500x400	Imagenet: A large-scale hierarchical image database
ImageNet	1400萬	10萬	1000	約 500x400	Imagenet: A large-scale hierarchical image database

 

歡迎關注公眾號：一刻AI

參考文獻：黃凱奇, 任偉強, 譚鐵牛. 圖像物體分類與檢測算法綜述[J]. 計算機學報, 2014, 37(6): 1225-1240.