Karakaya,M.Computer Engineering2024-07-052024-07-052021978-166542908-510.1109/UBMK52708.2021.95589682-s2.0-85125834374https://doi.org/10.1109/UBMK52708.2021.9558968https://hdl.handle.net/20.500.14411/4039Automatic tagging of images is an important researcli topic in tlie field of image processing. Anotlier area similar to this is the automatic generation of picture captions. In this study, a deep learning model that automatically tags the pictures is used to detect errors in image captions. As a result of the initial experiments, it is observed that the proposed system can find up to 80% of the errors in the image captions. © 2021 IEEEtrinfo:eu-repo/semantics/closedAccessCaptioningDeep learningDeep neural networksError detectionImage processingTaggingDetecting Errors in Automatic Image Captioning by Deep Learning;Derin Ögrenme ile Otomatik Olarak Üretilen Resim Alt Yazismdaki Hatalarm TespitiConference Object46490