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Computer Vision Advancements and Applications

  • Unique Paper ID: 178601
  • Volume: 11
  • Issue: 12
  • PageNo: 3859-3861
  • Abstract:
  • Computer vision has quickly advanced from conventional image processing methods to cutting- edge deep learning-based strategies, influencing sectors including retail, healthcare, and driverless cars. In this work, the latest methods for object identification, picture segmentation, and scene comprehension are reviewed, and their uses are examined. It also covers issues including ethical considerations, computing efficiency, and data bias. The next stage of computer vision research is envisioned by highlighting future topics like multi- modal learning and explainable AI.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 3859-3861

Computer Vision Advancements and Applications

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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