Hateful Meme Classification

Hateful Meme Classification is a subtask in the field of computer vision that aims to detect and identify internet memes containing hate, discrimination, or harmful content by analyzing both image and text elements. The goal of this task is to improve the efficiency of content moderation on social media platforms, reduce the spread of harmful information, and protect users from negative content, thereby maintaining a healthy online environment.