infinite-dataset-hub/FacialRecognitionArchive
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--- license: mit tags: - infinite-dataset-hub - synthetic --- # FacialRecognitionArchive tags: classification, identity verification, biometric _Note: This is an AI-generated dataset so its content may be inaccurate or false_ **Dataset Description:** The 'FacialRecognitionArchive' dataset is a curated collection of high-resolution facial images used for training and evaluating machine learning models in the field of face recognition. The dataset includes a diverse range of faces across various demographics, such as age, gender, ethnicity, and expressions, ensuring that models trained on this dataset can achieve high levels of accuracy and robustness. The primary application of this dataset is in identity verification systems, which require reliable and efficient face recognition capabilities. The dataset is structured to support various classification tasks, including but not limited to, individual identity recognition, emotion detection, and age estimation. **CSV Content Preview:** ```csv id,file_name,age,gender,ethnicity,expression,emotion,label 1,face_001.jpg,28,Male,Asian,Happy,Joy,Joy_Asian_Male_28_Happy 2,face_002.jpg,35,Female,Caucasian,Sad,Sadness,Sadness_Caucasian_Female_35_Sad 3,face_003.jpg,42,Male,African,Surprised,Surprise,Surprise_African_Male_42_Surprised 4,face_004.jpg,21,Female,Hispanic,Angry,Anger,Anger_Hispanic_Female_21_Angry 5,face_005.jpg,30,Non-binary,Middle Eastern,Neutral,Neutral,Neutral_Middle_Eastern_Nonbinary_30_Neutral ``` This CSV provides a structured snapshot of the 'FacialRecognitionArchive' dataset, with each row representing an individual image's metadata and associated label. The 'label' column specifies the recognized emotion or identity-related attribute of the face in the image, which can be used to train classification models. The dataset's structure facilitates various analysis and modeling tasks, including emotion recognition, age and gender classification, and ethnicity detection, making it a valuable resource for research and development in the field of facial recognition. **Source of the data:** The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'face': - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=face&dataset=FacialRecognitionArchive&tags=classification,+identity+verification,+biometric - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
--- 许可证：MIT 标签： - 无限数据集中心（Infinite Dataset Hub） - 合成数据集（synthetic） --- # 面部识别档案库（FacialRecognitionArchive） 标签：分类、身份验证、生物特征识别 *注：本数据集由人工智能生成，其内容可能存在不准确或虚假之处* **数据集描述：** "面部识别档案库（FacialRecognitionArchive）"数据集是经精心甄选的高分辨率面部图像合集，用于面部识别领域机器学习模型的训练与评估。该数据集涵盖年龄、性别、种族、表情等多维度人口统计学特征的多样化面部样本，可确保基于此数据集训练的模型具备高精度与强鲁棒性。本数据集的核心应用场景为身份验证系统，此类系统需要可靠且高效的面部识别能力。其结构设计可支持多种分类任务，包括但不限于个体身份识别、表情检测与年龄估算。 **CSV内容预览：** csv id,文件名称（file_name）,年龄,性别（gender）,种族（ethnicity）,表情（expression）,情感（emotion）,标签（label） 1,face_001.jpg,28,男性（Male）,亚裔（Asian）,开心（Happy）,喜悦（Joy）,Joy_Asian_Male_28_Happy 2,face_002.jpg,35,女性（Female）,高加索裔（Caucasian）,难过（Sad）,悲伤（Sadness）,Sadness_Caucasian_Female_35_Sad 3,face_003.jpg,42,男性（Male）,非洲裔（African）,惊讶（Surprised）,惊讶（Surprise）,Surprise_African_Male_42_Surprised 4,face_004.jpg,21,女性（Female）,西班牙裔（Hispanic）,愤怒（Angry）,愤怒（Anger）,Anger_Hispanic_Female_21_Angry 5,face_005.jpg,30,非二元性别（Non-binary）,中东裔（Middle Eastern）,中性（Neutral）,中性（Neutral）,Neutral_Middle_Eastern_Nonbinary_30_Neutral 本CSV文件结构化展示了"面部识别档案库（FacialRecognitionArchive）"数据集的快照，每一行对应单张图像的元数据与关联标签。其中"标签"列标注了图像中面部的识别情感或身份相关属性，可用于训练分类模型。该数据集的结构便于开展各类分析与建模任务，涵盖表情识别、年龄与性别分类、种族检测等，是面部识别领域研究与开发的宝贵资源。 **数据集来源：** 本数据集通过[无限数据集中心（Infinite Dataset Hub）](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub)与Microsoft/Phi-3-mini-4k-instruct模型，基于查询词"face"生成： - **数据集生成页面**：https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=face&dataset=FacialRecognitionArchive&tags=classification,+identity+verification,+biometric - **所用模型**：https://huggingface.co/microsoft/Phi-3-mini-4k-instruct - **更多数据集**：https://huggingface.co/datasets?other=infinite-dataset-hub
