Skip to content

README.md

Latest commit

 

History

History
77 lines (55 loc) · 2.64 KB

README.md

File metadata and controls

77 lines (55 loc) · 2.64 KB

🧠 100 Computer Vision Notebooks: A Repository of 100 Computer Vision Projects

Welcome to 100 Computer Vision Notebooks — a personal exploring a wide range of Computer Vision techniques. This repository is part of my journey as a Computer Science passionate about real-world applications of deep learning, image processing, and explainable AI.

Whether you're a beginner looking to learn or a researcher exploring practical implementations, you'll find value in these diverse, hands-on projects.

🎯 Project Goal

The goal of this repository is to:

  • ✅ Build 100 practical, computer vision notebooks
  • ✅ Cover a wide variety of domains (medical imaging, agriculture, natural images, etc.)
  • ✅ Apply both classic and modern deep learning models
  • ✅ Incorporate Explainable AI (XAI) techniques like SHAP, LIME, Grad-CAM
  • ✅ Foster open collaboration and community contribution

🧠 Topics Covered So Far

Here’s a brief look at what's currently included:

# Project Title
1 Digit Recognition (MNIST)
2 Face Detection
3 Skin Cancer Classification using Xception
4 Chest X-Ray Image Analysis
5 Forward and Inverse Network
6 Y-Net for Segmentation
7 Eye Diseases Classification
8 Wheat Plant Disease Detection
9 Nitrogen Deficiency & Leaf Rust Detection
10 Image Colorization with Autoencoder
11 XAI (SHAP & LIME) for Plant Pathogen Classification
12 Conv2D vs SeparableConv2D Analysis
13 Denoising Autoencoder
14 Autoencoders with Dense & Convolutional Layers
15 CNN for Fungi Microscopic Image Classification
16 SHAP, LIME, Grad-CAM for Fungi Classification
17 XAI Techniques for Fungi Classification
18 Rice Leaf Disease Detection
19 Leaf Detection using YOLO
20 General Image Processing Techniques

🔄 This list is growing every week! Expect cutting-edge notebooks involving object detection, vision transformers, medical imaging segmentation, etc. models in upcoming commits.

🧪 Tech Stack

  • Python
  • TensorFlow / Keras
  • PyTorch
  • OpenCV
  • Matplotlib / Seaborn
  • Scikit-learn
  • XAI Libraries: SHAP, LIME, Grad-CAM

🔗 A complete collection of my notebooks is also available on my Kaggle profile

👉 https://www.kaggle.com/mdismielhossenabir

📌 Roadmap

✅ 20/100 notebooks complete
⏳ 80 to go!
I will continue updating this repository until all 100 notebooks are committed. Stay tuned!