Update README.md

README.md

@@ -17,9 +17,8 @@ license: mit
 
 The FaceAuthenticator.keras model is a deep learning model designed for face authentication tasks. It utilizes a VGG16 convolutional neural network (CNN) architecture to extract features from facial images and make predictions about whether the face belongs to an authorized individual. This model is typically used in applications such as face recognition systems for security or access control.
 
-- **Developed by:** [More Information Needed]
+- **Developed by:** Prathmesh Patil 
 - **Model type:** Convolutional Neural Network (CNN)
-- **License:** [More Information Needed]
 
 ### 🛠️ Uses
 
@@ -47,25 +46,29 @@ Users should be aware that the model was trained with a specific dataset and may
 
 Use the code below to get started with the model:
 
-[More Information Needed]
+- code.py
+
 
 ## 🧠 Training Details
 
 ### 📊 Training Data
 
 The model has been trained on a dataset containing facial images labeled for authentication purposes.
-
-### 🔍 Training Procedure
-
-#### 🔧 Preprocessing [More Information Needed]
+rvf10k
+├── dataset-metadata.json
+├── train
+│   ├── fake
+│   └── real
+├── train.csv
+├── valid
+│   ├── fake
+│   └── real
+└── valid.csv
 
 #### 📊 Training Hyperparameters
 
 - Training regime: VGG16 with 10 epochs
 - Accuracy: Approximately 82%
 
-## 📚 Citation [optional]
-
-[More Information Needed]
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference