Toloka visual question answering

By: Material type: TextTextPublication details: Islamabad (unpublished) 2023Description: x, 59 p. : ill., Col. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.8 ARO
Dissertation note: Thesis--Riphah International University, 2023
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis City Campus 005.8 ARO (Browse shelf(Opens below)) 1 NOT for LOAN 53756

Submitted in the fulfillment of the requirements of Master of Science in Data Science to the Faculty of Computing.

Thesis supervisor: Dr. Adeel Zafar

Includes bibliographical references.

Thesis--Riphah International University, 2023

English

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