ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Utambuzi wa Kitu

Utambuzi wa kitu ni kazi ya maono ya kompyuta ambayo mtandao wa neva wa kina huweka na kuainisha kila kisa cha aina moja au zaidi ya vitu ndani ya picha kwa wakati mmoja, ikitoa kisanduku kinachofunga na lebo ya darasa kwa kila kitu kilichotambuliwa. Watambuzi wa kisasa — kutoka familia ya R-CNN hadi YOLO na DETR — hufikia usahihi unaokaribia wa binadamu kwa kasi ya wakati halisi kwenye vigezo vya kawaida.

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Vyanzo

  1. Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 580–587. DOI: 10.1109/CVPR.2014.81
  2. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You Only Look Once: Unified, Real-Time Object Detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788. DOI: 10.1109/CVPR.2016.91

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Object Detection (Region-Based and Anchor-Free Deep Neural Network Models). ScholarGate. https://scholargate.app/sw/deep-learning/object-detection

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Imerejelewa na

ScholarGateObject Detection (Object Detection (Region-Based and Anchor-Free Deep Neural Network Models)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/object-detection · Seti ya data: https://doi.org/10.5281/zenodo.20539026