Update README.md

README.md

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 ---
 language:
-- es
+- en
 base_model:
 - Ultralytics/YOLOv8
----
+---
+# Mobile and Cap Detection Model - YOLOv8
+
+This repository contains a YOLOv8 model trained to detect mobile phones and caps in images.
+
+## Model Description
+
+The model was trained using YOLOv8n architecture to detect two classes:
+- Mobile phones
+- Caps
+
+### Training Details
+- Base model: YOLOv8n
+- Training epochs: 100
+- Hardware: CUDA-enabled GPU
+- Framework: Ultralytics YOLO
+
+## Usage
+
+```python
+from ultralytics import YOLO
+
+# Load the model
+model = YOLO('path_to_model.pt')
+
+# Perform detection on an image
+results = model('path_to_image.jpg')
+```
+
+## Training Code
+
+The model was trained using the following script:
+
+```python
+from ultralytics import YOLO
+
+# Load a model
+model = YOLO("yolov8n.pt").to('cuda')
+# Train the model
+results = model.train(data="data.yaml", epochs=100)
+```
+
+## Dataset
+
+The model was trained on a custom dataset containing images of mobile phones and caps. The dataset was structured following YOLO format requirements.