modified README.md

README.md

@@ -1,13 +1,22 @@
 # YOLOv8
 
 This repository contains the YOLOv8 model weights (`yolov8n.pt`) for object detection. YOLOv8 is an advanced version of the YOLO (You Only Look Once) series of real-time object detection models.
+ 
+## Documentation
+See below for a quickstart installation and usage example, and see the YOLOv8 Docs for full documentation on training, validation, prediction and deployment.
+ 
+## CLI
+YOLOv8 may be used directly in the Command Line Interface (CLI) with a yolo command:
+
+yolo predict model=yolov8n.pt source='https://ultralytics.com/images/bus.jpg'
+
+yolo can be used for a variety of tasks and modes and accepts additional arguments, i.e. imgsz=640. See the YOLOv8 CLI Docs for examples.
 
 ## Usage
 
 To use this model for object detection, follow these steps:
 
-### Installation
-
+## Python 
 Install the necessary dependencies:
 ```bash 
 pip install ultralytics
@@ -15,7 +24,7 @@ pip install opencv-python
 
 import cv2
 from ultralytics import YOLO
-
+Make sure these dependencies are installed in your environment before proceeding to load and use the model.
 
 # code for performing object detection
 def detect_objects(model_path, image_path1, image_path2):