Update README.md

README.md

@@ -24,19 +24,25 @@
  </h3>
 <br />
 
-## Supported computer vision tasks
+
+
+Giskard Vision is a comprehensive Python package designed to simplify and streamline a variety of computer vision tasks. Whether you're working on facial landmark detection, image classification, or object detection, Giskard Vision provides the tools you need to evaluate your models with ease.
+
+## Supported Computer Vision Tasks
 
 - **Facial Landmark Detection** ([Readme](https://github.com/Giskard-AI/giskard-vision/blob/main/giskard_vision/landmark_detection/Readme.md))
 - **Image Classification** ([Readme](https://github.com/Giskard-AI/giskard-vision/blob/main/giskard_vision/image_classification/Readme.md))
 - **Object Detection** ([Readme](https://github.com/Giskard-AI/giskard-vision/blob/main/giskard_vision/object_detection/Readme.md))
+- 
+## Installation
 
-## Install
+To install Giskard Vision, simply use pip:
 
-```
+```bash
 pip install giskard-vision
 ```
 
-To install the repo in dev mode
+If you want to contribute to the development or explore the latest features, you can install the repository in development mode:
 
 ```shell
 git clone https://github.com/Giskard-AI/giskard-vision.git
@@ -45,15 +51,37 @@ pdm install -G :all
 source .venv/bin/activate
 ```
 
+## Scan
+Giskard Vision includes powerful scanning capabilities to evaluate your models. To run a scan, first ensure that you have the `giskard` library installed:
+```shell
+pip install giskard
+```
+Then, you can perform a scan using the following code:
+```py
+from giskard_vision import scan
+
+dataloader = ...
+model = ...
+
+results = scan(model, dataloader)
+```
+Explore the examples provided to see how to implement scans in different contexts:
+- [Facial Landmark Detection Notebook](https://github.com/Giskard-AI/giskard-vision/blob/main/examples/landmark_detection/ffhq_scan.ipynb)
+- [Image Classification Notebook](https://github.com/Giskard-AI/giskard-vision/blob/main/examples/image_classification/sc_scan.ipynb)
+- [Object Detection Notebook](https://github.com/Giskard-AI/giskard-vision/blob/main/examples/object_detection/racoons_scan.ipynb)
+
 ## Examples
 
-In order to explore the jupyter notebook tutorials, all you need is to install the repo in dev mode and check out `examples` directory.
+The `examples` directory contains Jupyter notebook tutorials that demonstrate how to use Giskard Vision for various tasks. To explore these tutorials:
+
+	1.	Install the repository in development mode.
+	2.	Navigate to the examples directory and open the notebook of interest.
 
 ## FAQ
 
 #### I am getting `attributeerror: module 'cv2.face' has no attribute 'createlbphfacerecognizer'` when running some examples in dev mode
 
-This is most likely due to the order in which `opencv-contrib-python` module is installed. The following trick should resolve the issue:
+This issue usually occurs due to the installation order of the `opencv-contrib-python` module. To resolve it, follow these steps:
 
 ```bash
 pip uninstall opencv-contrib-python