Update README.md

README.md

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 ---
+tags:
+- computer-vision
+- opencv
+- numpy
+- matplotlib
+- educational
+- beginner
 license: mit
-language:
-- en
-pipeline_tag: image-to-text
----
+language: en
+---
+
+# Computer Vision Learning Notebooks
+
+## Summary
+This repository contains a series of **educational notebooks** that introduce the fundamentals of Computer Vision (CV) in a simple, visual, step-by-step way.  
+It is designed for both **technical and non-technical learners**, focusing on building intuition about how computers see and manipulate images.
+
+The notebooks progress from working with raw arrays (NumPy) to real images (PIL/OpenCV) and finally to drawing shapes, annotations, and simple overlays.
+
+---
+
+## Notebooks Overview
+- **Notebook 1** → Introduction to images as arrays (NumPy basics).  
+- **Notebook 2** → Loading, resizing, and exploring color channels of real images.  
+- **Notebook 3** → Image transformations and manipulations (PIL / Pillow).  
+- **Notebook 4** → Drawing shapes, lines, and text on blank canvases and real images (OpenCV).
+
+---
+
+## Intended Use
+These notebooks are ideal for:
+- Students beginning their journey in **Computer Vision**.  
+- Non-technical learners who want to **visualize how machines interpret images**.  
+- Developers looking for a clear, hands-on foundation before moving to advanced CV or deep learning topics.
+
+---
+
+## Features
+- Beginner-friendly explanations paired with visual outputs.  
+- Bite-sized, progressive learning: **arrays → real images → drawing & annotations**.  
+- Uses standard libraries: **NumPy, Matplotlib, PIL/Pillow, OpenCV**.  
+- Each notebook contains concise theory, short code cells with comments, and visuals.
+
+---
+
+## How to Use
+1. Open the notebooks in order (1 → 4) for the intended learning progression.  
+2. Run each cell step-by-step and observe results.  
+3. Tweak parameters (e.g., rectangle coordinates, circle radius, colors) to experiment and learn.  
+4. Use copies of images (`.copy()`) when you want to preserve originals during edits.
+
+---
+
+## Requirements (suggested)
+Install the basic packages used across the notebooks:
+
+```bash
+pip install numpy matplotlib pillow opencv-python