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YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Celebrity Interview Face Dataset
Dataset Description
This dataset contains facial images extracted from celebrity interviews, featuring prominent public figures across various domains including sports, politics, technology, and media.
Dataset Summary
- Total Classes: 8 celebrities
- Image Resolution: 224x224 pixels
- Format: JPEG images
- Source: YouTube interview videos
- Extraction Rate: ~10 frames per second from source videos
Celebrities Included
- Palki Sharma - Journalist and News Anchor
- Virat Kohli - Indian Cricket Captain
- MS Dhoni - Former Indian Cricket Captain
- Elon Musk - CEO of Tesla and SpaceX
- Bill Gates - Microsoft Co-founder and Philanthropist
- Mark Zuckerberg - Meta (Facebook) CEO
- Narendra Modi - Prime Minister of India
- Donald Trump - Former US President
Dataset Structure
face/
βββ 0_Palki_sharama/
βββ 1_virat/
βββ 2_dhoni/
βββ 3_elon_musk/
βββ 4_bill_gates/
βββ 5_mark_zukerberg/
βββ 6_Modi/
βββ 7_trump/
Each folder contains sequential JPEG images (0.jpg, 1.jpg, 2.jpg, ...) extracted from interview videos.
Data Collection Process
- Video Source: High-quality interview videos from YouTube
- Frame Extraction: Automated extraction at ~10 fps using OpenCV
- Preprocessing: Resized to 224x224 pixels for consistency
- Quality Control: Manual verification of video sources
Intended Use
Primary Use Cases
- Face Recognition Research: Training and testing face recognition systems
- Celebrity Classification: Multi-class classification tasks
- Computer Vision: General face detection and analysis
- Academic Research: Educational and research purposes
Out-of-Scope Use Cases
- Commercial surveillance without consent
- Biometric identification systems for unauthorized purposes
- Any application that may violate privacy rights
Ethical Considerations
- All images are extracted from publicly available interview content
- Dataset is intended for research and educational purposes
- Users should respect privacy and ethical guidelines when using this dataset
- Commercial use should consider appropriate licensing and consent
Technical Specifications
- Image Format: JPEG
- Color Space: RGB
- Resolution: 224x224 pixels
- File Naming: Sequential numbering (000000.jpg, 000001.jpg, ...)
- Approximate Dataset Size: Varies by celebrity (up to 2000 images per person)
Usage Example
from datasets import load_dataset
import cv2
import os
# Load dataset (after downloading)
dataset_path = "path/to/face/dataset"
# Example: Load images from a specific celebrity
celebrity_folder = "1_virat"
image_path = os.path.join(dataset_path, celebrity_folder, "000001.jpg")
image = cv2.imread(image_path)
Limitations
- Lighting Conditions: Varies based on interview settings
- Pose Variation: Limited to interview contexts (mostly frontal faces)
- Background: Interview/studio backgrounds may affect performance
- Temporal Bias: Images reflect appearance at time of interview recording
Citation
If you use this dataset in your research, please cite:
@dataset{celebrity_interview_faces_2024,
title={Celebrity Interview Face Dataset},
author={JagadeeshAI},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/datasets/JagadeeshAI/face}
}
License
This dataset is provided for research and educational purposes. Please ensure compliance with applicable laws and ethical guidelines when using this data.
Contact
For questions or issues regarding this dataset, please open an issue in the repository or contact the dataset maintainer.
Note: This dataset is created from publicly available content for research purposes. All celebrities featured are public figures whose interviews are available on public platforms.
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