Image captioning using xception

dc.contributor.advisor	Khare, Manish
dc.contributor.author	Maulvi, Mohammed Nadeem G.
dc.date.accessioned	2020-09-22T04:58:25Z
dc.date.available	2023-02-17T04:58:25Z
dc.date.issued	2020
dc.identifier.citation	Maulvi, Mohammed Nadeem G. (2020). Image captioning using xception. Dhirubhai Ambani Institute of Information and Communication Technology. vi, 12 p. (Acc.No: T00876)
dc.identifier.uri	http://drsr.daiict.ac.in//handle/123456789/954
dc.description.abstract	The main aim of the project was to create a model that generates the captions. The captions must be syntactically correct and semantically true. Also the goal was to create a new model that can achieve outstanding results compared to other models. The data set used was Flickr8k and was trained over pre-trained Xception model. The outcomes were compared against the ResNet50 and InceptionV3 results. The evaluation metric used was BLEU (Bilingual Evaluation Understudy) Score. The BLEU Score graphs shows that Xception has outperformed the ResNet50 and InceptionV3 models.
dc.publisher	Dhirubhai Ambani Institute of Information and Communication Technology
dc.subject	Image Captioning
dc.subject	Xception model
dc.subject	Flickr8k data set
dc.subject	BLEU Score
dc.classification.ddc	621.367 MAU
dc.title	Image captioning using xception
dc.type	Dissertation
dc.degree	M. Tech
dc.student.id	201811048
dc.accession.number	T00876