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ILSVRC
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. ImageNet contains more than 20,000 categories, with a typical category, such as "balloon" or "strawberry", consisting of several hundred images. The database of annotations of third-party image URLs is freely available directly from ImageNet, though the actual images are not owned by ImageNet. Since 2010, the ImageNet project runs an annual software contest, the ImageNet Large Scale Visual Recognition Challenge ( ILSVRC), where software programs compete to correctly classify and detect objects and scenes. The challenge uses a "trimmed" list of one thousand non-overlapping classes. History AI researcher Fei-Fei Li began working on the idea for ImageNet in 2006. At a time when most AI researc ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ImageNet Large Scale Visual Recognition Challenge
The ImageNet project is a large visual database designed for use in Outline of object recognition, visual object recognition software research. More than 14 million images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. ImageNet contains more than 20,000 categories, with a typical category, such as "balloon" or "strawberry", consisting of several hundred images. The database of annotations of third-party image URLs is freely available directly from ImageNet, though the actual images are not owned by ImageNet. Since 2010, the ImageNet project runs an annual software contest, the ImageNet Large Scale Visual Recognition Challenge (#History_of_the_ImageNet_challenge, ILSVRC), where software programs compete to correctly classify and detect objects and scenes. The challenge uses a "trimmed" list of one thousand non-overlapping classes. History AI researcher Fei-Fei Li began working ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
AlexNet
AlexNet is a convolutional neural network architecture developed for image classification tasks, notably achieving prominence through its performance in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). It classifies images into 1,000 distinct object categories and is regarded as the first widely recognized application of deep convolutional networks in large-scale visual recognition. Developed in 2012 by Alex Krizhevsky in collaboration with Ilya Sutskever and his Ph.D. advisor Geoffrey Hinton at the University of Toronto, the model contains 60 million parameters and 650,000 neurons. The original paper's primary result was that the depth of the model was essential for its high performance, which was computationally expensive, but made feasible due to the utilization of graphics processing units (GPUs) during training. The three formed team SuperVision and submitted AlexNet in the ImageNet Large Scale Visual Recognition Challenge on September 30, 2012. The network ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ResNets
A residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition, and won the ImageNet Large Scale Visual Recognition ChallengeILSVRC of that year. As a point of terminology, "residual connection" refers to the specific architectural motif of , where f is an arbitrary neural network module. The motif had been used previously (see §History for details). However, the publication of ResNet made it widely popular for feedforward networks, appearing in neural networks that are seemingly unrelated to ResNet. The residual connection stabilizes the training and convergence of deep neural networks with hundreds of layers, and is a common motif in deep neural networks, such as transformer models (e.g., BERT, and GPT models such as ChatGPT), the AlphaGo Zero system, the AlphaStar system, and the AlphaFold system. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Convolutional Neural Network
A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. Convolution-based networks are the de-facto standard in deep learning-based approaches to computer vision and image processing, and have only recently been replaced—in some cases—by newer deep learning architectures such as the transformer. Vanishing gradients and exploding gradients, seen during backpropagation in earlier neural networks, are prevented by the regularization that comes from using shared weights over fewer connections. For example, for ''each'' neuron in the fully-connected layer, 10,000 weights would be required for processing an image sized 100 × 100 pixels. However, applying cascaded ''convolution'' (or cross-correlation) kernels, only 25 weights for each convolutio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Fei-Fei Li
Fei-Fei Li (; born in Beijing, China, July 3, 1976) is a Chinese-American computer scientist known for her pioneering work in artificial intelligence (AI), particularly in computer vision. She is best known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter. Li is a co-director of the Stanford Institute for Human-Centered Artificial Intelligence and a co-director of the Stanford Vision and Learning Lab. She also served as Chief Scientist of AI/ML at Google Cloud and is the director of the Stanford Artificial Intelligence Laboratory from 2013 to 2018. In 2017, she co-founded AI4ALL, a nonprofit organization working to increase diversity and inclusion in the field of artificial intelligence. Her research expertise includes artificial intelligence, machine learning, deep learning, computer vision and cognitive neur ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Count Noun
In linguistics, a count noun (also countable noun) is a noun that can be modified by a quantity and that occurs in both singular and plural forms, and that can co-occur with quantificational determiners like ''every'', ''each'', ''several'', etc. A mass noun has none of these properties: It cannot be modified by a number, cannot occur in plural, and cannot co-occur with quantificational determiners. Examples Below are examples of all the properties of count nouns holding for the count noun ''chair'', but not for the mass noun ''furniture''. Some determiners can be used with both mass and count nouns, including "some", "a lot (of)", "no". Others cannot: "few" and "many" are used with count items, "little" and "much" with mass nouns. On the other hand, "fewer" is reserved for count and "less" for mass (see Fewer vs. less), but "more" is the proper comparative for both "many" and "much". Grammatical distinction The concept of a "mass noun" is a grammatical concept and is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Part Of Speech
In grammar, a part of speech or part-of-speech ( abbreviated as POS or PoS, also known as word class or grammatical category) is a category of words (or, more generally, of lexical items) that have similar grammatical properties. Words that are assigned to the same part of speech generally display similar syntactic behavior (they play similar roles within the grammatical structure of sentences), sometimes similar morphological behavior in that they undergo inflection for similar properties and even similar semantic behavior. Commonly listed English parts of speech are noun, verb, adjective, adverb, pronoun, preposition, conjunction, interjection, numeral, article, and determiner. Other terms than ''part of speech''—particularly in modern linguistic classifications, which often make more precise distinctions than the traditional scheme does—include word class, lexical class, and lexical category. Some authors restrict the term ''lexical category'' to refer only to a par ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Unique Key
In relational database management systems, a unique key is a candidate key. All the candidate keys of a relation can uniquely identify the records of the relation, but only one of them is used as the primary key of the relation. The remaining candidate keys are called unique keys because they can uniquely identify a record in a relation. Unique keys can consist of multiple columns. Unique keys are also called alternate keys. Unique keys are an alternative to the primary key of the relation. In SQL, the unique keys have a UNIQUE constraint assigned to them in order to prevent duplicates (a duplicate entry is not valid in a unique column). Alternate keys may be used like the primary key when doing a single-table select or when filtering in a ''where'' clause, but are not typically used to join multiple tables. Summary Keys provide the means for database users and application software to identify, access and update information in a database table. ''There may be several keys in any ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Noun
In grammar, a noun is a word that represents a concrete or abstract thing, like living creatures, places, actions, qualities, states of existence, and ideas. A noun may serve as an Object (grammar), object or Subject (grammar), subject within a phrase, clause, or sentence.Example nouns for: * Living creatures (including people, alive, dead, or imaginary): ''mushrooms, dogs, Afro-Caribbeans, rosebushes, Mandela, bacteria, Klingons'', etc. * Physical objects: ''hammers, pencils, Earth, guitars, atoms, stones, boots, shadows'', etc. * Places: ''closets, temples, rivers, Antarctica, houses, Uluru, utopia'', etc. * Actions of individuals or groups: ''swimming, exercises, cough, explosions, flight, electrification, embezzlement'', etc. * Physical qualities: ''colors, lengths, porosity, weights, roundness, symmetry, solidity,'' etc. * Mental or bodily states: ''jealousy, sleep, joy, headache, confusion'', etc. In linguistics, nouns constitute a lexical category (part of speech) defined ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Google Search
Google Search (also known simply as Google or Google.com) is a search engine operated by Google. It allows users to search for information on the World Wide Web, Web by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide. Google Search is the List of most-visited websites, most-visited website in the world. As of 2025, Google Search has a 90% share of the global search engine market. Approximately 24.84% of Google's monthly global traffic comes from the United States, 5.51% from India, 4.7% from Brazil, 3.78% from the United Kingdom and 5.28% from Japan according to data provided by Similarweb. The order of search results returned by Google is based, in part, on a priority rank system called "PageRank". Google Search also provides many different options for customized searches, using symbols to include, exclude, specify or require certain search be ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Dog Breeds
This list of dog breeds includes both extant and extinct dog breeds, varieties and types. A research article on dog genomics published in Science/AAAS defines modern dog breeds as "a recent invention defined by conformation to a physical ideal and purity of lineage". According to BigThink, over 40% of the world's dog breeds come from the United Kingdom, France and Germany. It states: "Great Britain and France are the ground zero of dog fancying, with 57 registered breeds each. Germany is not far behind, with 47 breeds. These three countries alone represent more than 40% of all dog breeds recognized by the Fédération Cynologique Internationale." Extant breeds, varieties and types A–C D–K L–R S–Z Extinct and critically endangered breeds, varieties and types See also * Dog type * List of dog crossbreeds * List of Italian dog breeds * List of dog breeds from India * List of Tibetan dog breeds Notes References Citations Bibliography * ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Picsearch
Picsearch was a Swedish company which developed and provided image search services for large websites. The image search services developed by Picsearch power several major Internet companies, such as Lycos. Other Picsearch customers include regional search portals in Germany, TurkeyTurkish portal joins hands with Picsearch. ''Turkish Daily News'' June 11, 2007. Retrieved on July 11, 2007. and an Arabic language portal.Maktoob chooses Picsearch to power image search. ''Picsearch'' January 17, 2007. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
