UAV-ITD: UAV Image Text Detection Dataset

Citation Author(s):
Aishwarya
Soni
Tanima
Dutta
Submitted by:
Aishwarya Soni
Last updated:
Mon, 01/01/2024 - 03:13
DOI:
10.21227/172w-5r42
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Abstract 

 

Unmanned Aerial Vehicle Image Text Detection, UAV-ITD, dataset focuses on the collection and creation of a comprehensive dataset tailored for identifying text in images captured by Unmanned Aerial Vehicles (UAVs). Despite the abundance of natural text datasets, there is a significant dearth of specialised datasets for text detection in UAV-captured imagery. The absence of such datasets impedes the progress of deep learning algorithms in effectively understanding and interpreting textual information within aerial images. This study aims to address this gap by meticulously curating a dataset that captures the diverse challenges posed by UAV imagery, thereby facilitating advancements in text detection algorithms for aerial applications.