Casual Conversations Dataset

Casual Conversations dataset is designed to help researchers evaluate their computer vision and audio models for accuracy across a diverse set of age, genders, apparent skin tones and ambient lighting conditions.

Casual Conversations is composed of over 45,000 videos (3,011 participants) and intended to be used for assessing the performance of already trained models in computer vision and audio applications for the purposes permitted in the data user agreement. The videos feature paid individuals who agreed to participate in the project and explicitly provided age and gender labels themselves. The videos were recorded in the U.S. with a diverse set of adults in various age, gender and apparent skin tone groups. A group of trained annotators labeled the participants’ apparent skin tone using the Fitzpatrick scale in addition to annotations of videos recorded in low ambient lighting conditions.

《随意对话数据集》旨在辅助研究者对计算机视觉与音频模型在年龄、性别、肤色及环境光照条件多样性方面的准确性进行评估。该数据集由超过45,000段视频（3,011名参与者）构成，旨在用于评估在数据用户协议所允许的范围内，已训练模型在计算机视觉与音频应用中的性能。视频中的参与者均为支付报酬的自愿者，他们同意参与项目并亲自提供了年龄和性别标签。视频在美国录制，涉及不同年龄、性别和肤色群体的成年人。一组经过培训的标注员使用Fitzpatrick肤色分级标准对参与者的肤色进行了标注，并对在低环境光照条件下录制的视频进行了标注。