80 million tiny images: a large data set for nonparametric object and scene recognition
- PMID: 18787244
- DOI: 10.1109/TPAMI.2008.128
80 million tiny images: a large data set for nonparametric object and scene recognition
Abstract
With the advent of the Internet, billions of images are now freely available online and constitute a dense sampling of the visual world. Using a variety of non-parametric methods, we explore this world with the aid of a large dataset of 79,302,017 images collected from the Internet. Motivated by psychophysical results showing the remarkable tolerance of the human visual system to degradations in image resolution, the images in the dataset are stored as 32 x 32 color images. Each image is loosely labeled with one of the 75,062 non-abstract nouns in English, as listed in the Wordnet lexical database. Hence the image database gives a comprehensive coverage of all object categories and scenes. The semantic information from Wordnet can be used in conjunction with nearest-neighbor methods to perform object classification over a range of semantic levels minimizing the effects of labeling noise. For certain classes that are particularly prevalent in the dataset, such as people, we are able to demonstrate a recognition performance comparable to class-specific Viola-Jones style detectors.
Similar articles
-
Automatic semantic annotation of real-world web images.IEEE Trans Pattern Anal Mach Intell. 2008 Nov;30(11):1933-44. doi: 10.1109/TPAMI.2008.125. IEEE Trans Pattern Anal Mach Intell. 2008. PMID: 18787242
-
Tiny videos: a large data set for nonparametric video retrieval and frame classification.IEEE Trans Pattern Anal Mach Intell. 2011 Mar;33(3):618-30. doi: 10.1109/TPAMI.2010.118. IEEE Trans Pattern Anal Mach Intell. 2011. PMID: 21252400
-
Geometry-based image retrieval in binary image databases.IEEE Trans Pattern Anal Mach Intell. 2008 Jun;30(6):1003-13. doi: 10.1109/TPAMI.2008.37. IEEE Trans Pattern Anal Mach Intell. 2008. PMID: 18421106
-
Content-based 3D object retrieval.IEEE Comput Graph Appl. 2007 Jul-Aug;27(4):22-7. doi: 10.1109/mcg.2007.80. IEEE Comput Graph Appl. 2007. PMID: 17713231 Review. No abstract available.
-
Structural shape prototypes for the automatic classification of 3D objects.IEEE Comput Graph Appl. 2007 Jul-Aug;27(4):28-37. doi: 10.1109/mcg.2007.89. IEEE Comput Graph Appl. 2007. PMID: 17713232 Review. No abstract available.
Cited by
-
A method for small-sized wheat seedlings detection: from annotation mode to model construction.Plant Methods. 2024 Jan 29;20(1):15. doi: 10.1186/s13007-024-01147-w. Plant Methods. 2024. PMID: 38287423 Free PMC article.
-
Real-Time Detection of an Undercarriage Based on Receptive Field Blocks and Coordinate Attention.Sensors (Basel). 2023 Dec 16;23(24):9861. doi: 10.3390/s23249861. Sensors (Basel). 2023. PMID: 38139707 Free PMC article.
-
Random pruning: channel sparsity by expectation scaling factor.PeerJ Comput Sci. 2023 Sep 5;9:e1564. doi: 10.7717/peerj-cs.1564. eCollection 2023. PeerJ Comput Sci. 2023. PMID: 37705629 Free PMC article.
-
Global contextual attention augmented YOLO with ConvMixer prediction heads for PCB surface defect detection.Sci Rep. 2023 Jun 16;13(1):9805. doi: 10.1038/s41598-023-36854-2. Sci Rep. 2023. PMID: 37328545 Free PMC article.
-
Challenging deep learning models with image distortion based on the abutting grating illusion.Patterns (N Y). 2023 Feb 28;4(3):100695. doi: 10.1016/j.patter.2023.100695. eCollection 2023 Mar 10. Patterns (N Y). 2023. PMID: 36960449 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources