license:mit size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
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
