Health-related spam images
Published: 8 February 2021| Version 2 | DOI: 10.17632/vm5msmw257.2
Contributor:
NIDDAL IMAMDescription
300 labeled images collected from Twiiter Arabic hashtags and used for fine-tuning a text loclization (pixel_link) part of OCR system. The datasets were used in our published paper "Detecting Spam Images with Embedded Arabic Text in Twitter".
Files
Steps to reproduce
The images were collected from Twitter and labeled using Labelimg (https://github.com/tzutalin/labelImg). Please refer to our repo (https://github.com/niddal-imam/End-2-End-image-spam-detector-pixel_link) for more details.
Institutions
University of York
Categories
Optical Character Recognition, Twitter