Object Detection and Image Classification
In recent decades, rapid advancements in machine learning have significantly enhanced the ability to detect and classify objects within digital images. These technological developments have facilitated a wide range of applications, including the identification of malignant cells in histopathological...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| 主題: | |
| 在線閱讀: | ONIX_20260416T142754_9783725855452_32 |
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| _version_ | 1869528648922431488 |
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| collection | Directory of Open Access Books |
| description | In recent decades, rapid advancements in machine learning have significantly enhanced the ability to detect and classify objects within digital images. These technological developments have facilitated a wide range of applications, including the identification of malignant cells in histopathological images, the classification of flora and fauna in ecological studies, the recognition of astronomical bodies, and the differentiation between authentic and synthetically generated (deepfake) images. In certain domains, automated systems have demonstrated performance that surpasses that of human experts. Despite these promising outcomes, several critical challenges must be addressed before such systems can be reliably and widely adopted. Key issues include the need for improved accuracy and robustness, the development of interpretable and transparent models, and the cultivation of user trust and societal acceptance. This Special Issue, “Object Detection and Image Classification”, addresses some existing knowledge gaps. It consists of eight peer-reviewed papers that cover a range of new object detection algorithms and applications. |
| format | Online |
| id | doab-20.500.12854ir-174827 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1748272026-04-16T16:38:47Z Object Detection and Image Classification Wong, Patrick Zhao, Yifan Object detection Object tracking Image classification Machine learning Artificial intelligence Deepfake detection Explainable AI Object localization Augmented reality Remote sensing Disease detection Autonomous vehicles Autonomous robots Image processing Deep learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries In recent decades, rapid advancements in machine learning have significantly enhanced the ability to detect and classify objects within digital images. These technological developments have facilitated a wide range of applications, including the identification of malignant cells in histopathological images, the classification of flora and fauna in ecological studies, the recognition of astronomical bodies, and the differentiation between authentic and synthetically generated (deepfake) images. In certain domains, automated systems have demonstrated performance that surpasses that of human experts. Despite these promising outcomes, several critical challenges must be addressed before such systems can be reliably and widely adopted. Key issues include the need for improved accuracy and robustness, the development of interpretable and transparent models, and the cultivation of user trust and societal acceptance. This Special Issue, “Object Detection and Image Classification”, addresses some existing knowledge gaps. It consists of eight peer-reviewed papers that cover a range of new object detection algorithms and applications. 2026-04-16T16:38:40Z 2026-04-16T16:38:40Z 2025 book ONIX_20260416T142754_9783725855452_32 9783725855452 9783725855469 https://directory.doabooks.org/handle/20.500.12854/174827 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11706 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5546-9 10.3390/books978-3-7258-5546-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725855452 9783725855469 170 CH open access |
| spellingShingle | Object detection Object tracking Image classification Machine learning Artificial intelligence Deepfake detection Explainable AI Object localization Augmented reality Remote sensing Disease detection Autonomous vehicles Autonomous robots Image processing Deep learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Object Detection and Image Classification |
| title | Object Detection and Image Classification |
| title_full | Object Detection and Image Classification |
| title_fullStr | Object Detection and Image Classification |
| title_full_unstemmed | Object Detection and Image Classification |
| title_short | Object Detection and Image Classification |
| title_sort | object detection and image classification |
| topic | Object detection Object tracking Image classification Machine learning Artificial intelligence Deepfake detection Explainable AI Object localization Augmented reality Remote sensing Disease detection Autonomous vehicles Autonomous robots Image processing Deep learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Object detection Object tracking Image classification Machine learning Artificial intelligence Deepfake detection Explainable AI Object localization Augmented reality Remote sensing Disease detection Autonomous vehicles Autonomous robots Image processing Deep learning thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725855452_32 |