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title: Face Recognition Dataset (105 Classes)
emoji: 📸
colorFrom: yellow
colorTo: orange
sdk: python
tags:
- dataset
- face-recognition
- embeddings
- computer-vision
license: mit
---
# 📸 Face Recognition Dataset (105 Classes)
A curated and cleaned celebrity face dataset used for training and evaluating:
- **Face Recognition Model (CNN Embeddings + SVM)**
- **Face Recognition Demo App (Streamlit)**
This dataset contains **105 identities** and **~18,000 manually organized images**, formatted for deep-learning–based face recognition pipelines.
---
## 📁 Dataset Structure
The dataset follows a simple folder-based classification format:
```
face_recognition_dataset/
├── person_1/
├── person_2/
├── ...
└── person_105/
```
Each folder contains multiple face images for that identity.
This structure is compatible with most ML frameworks and embedding-based models.
---
## 📦 Contents
- **18k+ images**
- **105 celebrity identities**
- Cleaned, resized, organized folder structure
- Suitable for:
- Embedding extraction (FaceNet, ArcFace, etc.)
- Classification (SVM, kNN, cosine similarity)
- Clustering
- Evaluation & benchmarking
---
## 🧠 Model Trained on This Dataset
The official model trained on this dataset is available at:
**Model Repository:** `AI-Solutions-KK/face_recognition`
Contains:
- `svc_model.pkl`
- `classes.npy`
- `centroids.npy`
- Metadata + reproducible training pipeline
The model achieves **~99% accuracy** on this dataset.
---
## 🚀 Demo App Using This Dataset
A complete interactive app using this dataset is available at:
**App Repository:** `AI-Solutions-KK/face_recognition_model_demo_app`
Features:
- Image selection browser
- Real-time prediction
- Training report
- Prediction report
- Confusion matrix display
The app automatically downloads this dataset inside the Space using `snapshot_download()`.
---
## 🧩 Recommended Usage
```python
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="AI-Solutions-KK/face_recognition_dataset",
repo_type="dataset",
local_dir="my_dataset",
local_dir_use_symlinks=False,
)
```
After download, the dataset will be available at:
```
my_dataset/face_recognition_dataset/<class>/<image>.jpg
```
---
## 🔧 Suitable For
- Face recognition research
- Deep metric learning
- Identity classification
- Transfer learning experiments
- Benchmarking models like:
- FaceNet
- ArcFace
- MobileFaceNet
- InsightFace
---
## 👤 Author
Developed and organized by **Karan (AI-Solutions-KK)**
Please ⭐ the repo if you find it useful.
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