Hateful Memes: Phase 1

预计投入: 6–16 小时
难度: 入门
算力: 免费 GPU 可用
评分: 自动评测

赛题说明

Detecting hateful content presents a unique challenge in memes, where multiple data modalities need to be analyzed together. Facebook is calling on researchers around the world to help identify which memes contain hate speech.

评分: “Model performance and leaderboard rankings will be determined using the AUC ROC , or…” 官网原文
主办: Facebook
语言: 赛题、数据说明和讨论区都是英文

适不适合你

适合作为入门实战

新手适配82/100

学习价值86/100

怎么开始有可运行的基线

官方提供

基线方案Baseline models supplied with the challenge
基线方案Prize-winning competition models on GitHub ↗
数据Hateful Memes multimodal meme dataset
参考论文Hateful Memes dataset release paper ↗
参考论文NeurIPS competition report ↗

第一次参赛？先读《你的第一份 CV Baseline 检查清单》