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РецензированоEN2026

CHUQUR O'QITISH ALGORITMLARI ASOSIDA TASVIRDAGI OBYEKTLARNING STATISTIK MA'LUMOTLARINI TO'PLOVCHI DASTURIY VOSITA ISHLAB CHIQISH

Ergashev Sirojiddin Saloxiddin o'g'li · АЛГОРИТМОВ ГЛУБОКОГО ОБУЧЕНИЯ (University of Management and Future Technologies 2-kurs magistranti.)

Современная наука и исследования · 2 · 7310-7311 · 2026

Аннотация

This article explores the conceptual framework of software tool development that collects statistical information about and recognition of objects in images based on in-depth training algorithms. The possibilities of identifying, classifying and automatically collecting statistical data on objects in images using modern technologies have been analyzed. The article explores aspects such as existing in-depth training algorithms, their advantages, disadvantages, and the effectiveness of real-time object detection. Keywords: in-depth training, object detection, computer vision, artificial intelligence, statistical analysis, software tool, real-Time Mode, data collection.

Доказательный фрагмент

«This article explores the conceptual framework of software tool development that collects statistical information about and recognition of objects in images based on in-depth training algorithms.»

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This article explores the conceptual framework of software tool development that collects statistical information about and recognition of objects in images based on in-depth training algorithms. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

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Ключевые слова
in-depth training, object detection, computer vision, artificial intelligence, dasturiy vosita, statistik tahlil, ma'lumotlarni to'plash., obyekt aniqlash, sun'iy intellekt, real vaqt rejimi, chuqur o'qitish, kompyuter ko'rishi
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