An effective object detection and tracking using automated image annotation with inception based faster R-CNN model

Research article (International Journal of Cognitive Computing in Engineering, 2024) · cited 11× · AI/ML
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An effective object detection and tracking using automated image annotation with inception based faster R-CNN model

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An effective object detection and tracking using automated image annotation with inception based faster R-CNN model is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An effective object detection and tracking using automated image annotation with inception based faster R-CNN model. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-object-detection-and-tracking-using-automated-image-annotation-with-inception-based-faster-r-cnn-model
MLA “An effective object detection and tracking using automated image annotation with inception based faster R-CNN model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-object-detection-and-tracking-using-automated-image-annotation-with-inception-based-faster-r-cnn-model.
BibTeX @misc{4ortxyz_an-effective-object-detection-and-tracking-using-automated-image-annotation-with-inception-based-faster-r-cnn-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective object detection and tracking using automated image annotation with inception based faster R-CNN model}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-object-detection-and-tracking-using-automated-image-annotation-with-inception-based-faster-r-cnn-model}, note = {Accessed: 2026-05-24}}
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