地球资源数据云——数据资源详情
OpenCV - 面部识别 - LBPH
该数据集《OpenCV - Facial Recognition - LBPH》主要用于监督学习任务，数据形态以图像为主。 题目说明：OpenCV - Computer Vision 任务类型：图像监督学习。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Context This database of faces was downloaded from YALE University in the United States. Content The Yale Face Database (size 6.4MB) contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center - light, w/glasses, happy, left - light, w/no glasses, normal, right - light, sad, sleepy, surprised, and wink. Acknowledgements
摘要概览
该数据集《OpenCV - Facial Recognition - LBPH》主要用于监督学习任务，数据形态以图像为主。 题目说明：OpenCV - Computer Vision
任务类型：图像监督学习。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
Context
This database of faces was downloaded from YALE University in the United States.
Content
The Yale Face Database (size 6.4MB) contains 165 grayscale images in GIF format of 15 individuals. There are 11 images per subject, one per different facial expression or configuration: center - light, w/glasses, happy, left - light, w/no glasses, normal, right - light, sad, sleepy, surprised, and wink.
Acknowledgements