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Farhang-e-Asifiya (Urdu: فرہنگ آصفیہ, lit. 'The Dictionary of Asif') is an Urdu-to-Urdu dictionary compiled by Syed Ahmad Dehlvi. [1] It has more than 60,000 entries in four volumes. [2] It was first published in January 1901 by Rifah-e-Aam Press in Lahore, present-day Pakistan. [3] [4]
The dictionary has been arranged and edited according to the following criteria: All the common words, idioms, proverbs, and modern academic, literary, scientific, and technical terms of the Urdu language have been listed. Only those obsolete words and idioms have been included which are found in ancient books.
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
The Urdu Dictionary Board (Urdu: اردو لغت بورڈ, romanized: Urdu Lughat Board) is an academic and literary institution of Pakistan, administered by National History and Literary Heritage Division of the Ministry of Information & Broadcasting. Its objective is to edit and publish a comprehensive dictionary of the Urdu language.
The dictionary was edited by the honorary director general of the board Maulvi Abdul Haq who had already been working on an Urdu dictionary since the establishment of the Urdu Dictionary Board, Karachi, in 1958. [1] [2] [3] Urdu Lughat consists of 22 volumes. In 2019, the board prepared a concise version of the dictionary in two volumes.
The following outline is provided as an overview of and topical guide to computer vision: Computer vision – interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.
Rekhta is an Indian web portal started by Rekhta Foundation, a non-profit organisation dedicated to the preservation and promotion of the Urdu literature. [4] The Rekhta Library Project, its books preservation initiative, has successfully digitized approximately 200,000 books over a span of ten years. [5]