Multi-Class Face Segmentation Dataset

Multi-Class Face Segmentation is a dataset for a semantic segmentation task. Possible applications of the dataset could be in the surveillance industry. The dataset consists of 22188 images with 236935 labeled objects belonging to 17 different classes including face, nose, upperlip, and other: underlip, hair, lefteyebrow, righteyebrow, righteye, lefteye, tongue, rightear, leftear, glasses, headdress, head, lefteyelashes, and righteyelashes

多类人脸分割数据集为一项语义分割任务而设计。该数据集在监控行业具有潜在的应用价值。数据集包含22188张图像，其中标注对象共计236935个，涉及17个不同的类别，包括面部、鼻部、上唇以及其他部位：下唇、头发、左眉毛、右眉毛、右眼、左眼、舌头、右耳、左耳、眼镜、头饰、头部、左眼睫毛和右眼睫毛等。