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README.md

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----
-license: mit
----
+---
+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.
+