We introduce FindingEmo, a new image dataset containing annotations for 25k images, specifically tailored to Emotion Recognition. Contrary to existing datasets, it focuses on complex scenes depicting multiple people in various naturalistic, social settings, with images being annotated as a whole, thereby going beyond the traditional focus on faces or single individuals. Annotated dimensions include Valence, Arousal and Emotion label, with annotations gathered using Prolific. Together with the annotations, we release the list of URLs pointing to the original images, as well as all associated source code.

翻译：我们介绍FindingEmo，这是一个包含25,000张图像注释的新图像数据集，专为情感识别任务设计。与现有数据集不同，本数据集聚焦于描绘多人在各种自然社交场景中的复杂场景，对整幅图像进行整体标注，从而超越了传统上集中于面部或单个个体的研究范式。标注维度包含效价、唤醒度和情感标签，标注数据通过Prolific平台收集。除标注数据外，我们还发布了指向原始图像的URL列表及所有相关源代码。