🧠 Computer Vision Project Hub

Welcome! This repository is a collection of projects across core Computer Vision tasks, implemented with PyTorch and other open-source libraries. It includes beginner-friendly projects (like CNN from scratch) and extends to advanced topics such as segmentation, image captioning, VQA, and 3D vision.

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🗂️ Project Categories

Task	Description	Status
CNN From Scratch	Build a convolutional neural network manually with PyTorch	✅
Image Classification	Binary, Multiclass, and Multilabel classification tasks	✅
Object Detection	YOLO, SSD, Faster R-CNN based models	🛠️
Image Segmentation	Semantic, instance, panoptic segmentation	🛠️
Pose Estimation	Detect keypoints of humans (2D/3D)	⏳
Depth Estimation	Monocular and stereo image depth prediction	⏳
Image Captioning	Generate image descriptions using RNNs/Transformers	⏳
VQA	Visual Question Answering combining NLP + CV	⏳
Image Translation	Style transfer, colorization, inpainting	⏳
Anomaly Detection	Defect detection using unsupervised/autoencoders	⏳
Image Retrieval	Find similar images using embeddings	⏳
OCR	Detect & recognize printed/handwritten text	⏳
3D Vision	3D reconstruction, point clouds	⏳
Video Analysis	Tracking, action recognition, temporal detection	⏳
Face Analysis	Detection, recognition, landmarks, deepfake	⏳

🔄 Projects will be updated progressively. Feel free to star the repo for updates!

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🔧 Tech Stack

• Languages: Python 3.x
• Libraries: PyTorch, OpenCV, Torchvision, Numpy, Matplotlib
• Tools: Jupyter, Streamlit (for apps), Gradio (for demos)

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➕ Adding New Projects

Each project lives in its own folder with:

• Code (.ipynb, .py)
• README.md describing the task, dataset, and method
• Optional: demo app (Streamlit, Gradio)

To add a new project:

mkdir new-task-folder
# Add code, dataset link, results, and update this README


## 🤝 Contributions

Feel free to fork this repo, raise issues, or suggest new CV projects.

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## 📬 Contact

- LinkedIn: [Your LinkedIn link]
- Email: [Your email]

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> ⭐ If you find this useful, give it a star!