A curated collection of 9 real-world, open-source computer vision projects across 4 key themes, using 6 different datasets.
Welcome to LearnVision, a comprehensive, open-source repository of 9 computer vision projects developed under the academic mentorship of Tasneem Selim. These projects cover a range of impactful domains and are designed to help students, educators, and researchers explore applied deep learning through hands-on coding.
🔬 Focus Areas: Healthcare, Environmental Conservation, Human-Centered AI, Biometrics
🎓 Audience: Beginners, educators, and researchers
🤝 Mentorship: All projects were developed under structured supervision to ensure educational value and research quality. 6 different datasets
- ✅ Learn by doing: Real-world CV challenges with clean, reproducible code
- ✅ Metrics, evaluations, confusion matrices, and training logs included
| Project | Description | Accuracy |
|---|---|---|
| Fingerprint Recognition | Siamese network for one-shot fingerprint matching | 99.53% |
- Dataset: CK+ Dataset
| Project | Description | Accuracy |
|---|---|---|
| Facial Expression Recognition | Custom CNN trained on CK+ dataset | 96.05% |
- Dataset: Chest X-Ray Images - Pneumonia
- Dataset: Skin Cancer MNIST- HAM10000
| Project | Model | Accuracy |
|---|---|---|
| Skin Cancer Classification | Xception | 85.25% |
| Chest X-Ray - Pneumonia | Custom CNN | 93.59% |
| Chest X-Ray - Pneumonia | Xception | 95.66% |
| Chest X-Ray - Pneumonia | Sequential CNN, with skip connection + squeeze and Excitation block | 94.39% |
- Dataset: PlantVillage Dataset
- Dataset: Garbage Classification
| Project | Description | Accuracy |
|---|---|---|
| Waste Sorting | DenseNet201 | 91.64% |
| Waste Sorting | EfficientNet B0 | 92.76% |
| Plant Disease Identification | EfficientNet B0 | 99.06% |
- Clone the repository:
git clone https://github.com/Tasneem-Selim-PhD/learnvision-computer-vision-projects.git
This repository is more than just a collection of code — it represents a shared learning experience built on mentorship, creativity, and determination. Each project reflects the dedication and collaborative spirit of an exceptional group of students I had the honor to guide.
Under the mentorship of Tasneem Selim, the following contributors played a pivotal role in shaping this repository. Their hands-on involvement in real-world computer vision problems exemplifies both technical skill and a strong passion for applied AI.
| Name | GitHub (if available) | Contributions |
|---|---|---|
| Aya Ehab | @ayaehab | Pneumonia Detection, Waste Sorting |
| Mina Assad | @MinaAssad | Facial Expression Recognition |
| Kirollos Emad | @KirollosEmad | Facial Expression Recognition |
| Youssef Hanna | @YousseHanna | Facial Expression Recognition |
| Mario Gamal | @MarioGamal | Facial Expression Recognition |
| Youssef Awaad | @YoussefAwaad | Facial Expression Recognition |
| Mina Wagdy | @MinaWagdy | Facial Expression Recognition |
| Ahmed Abu Seada | @AhmedAbuSeada | Skin Cancer Classification |
| Rewan Yasser | Plant Disease Identification | |
| Rana Ashraf | Plant Disease Identification | |
| Doaa Nabil | Plant Disease Identification | |
| Ahmed Mahmoud | Waste Sorting | |
| Belal Adel | @BelalAdel | Waste Sorting |
| Omar Mohammed | @OmarMohammed | Waste Sorting |
| Zaid Nagah | @ziadNagah | Waste Sorting |
| Bassem Hazem | @BassemHazem | Fingerprint Recognition, Pneumonia Detection |
| Amira Ahmed | @AmiraAhmed | Fingerprint Recognition, Pneumonia Detection |
| Shrouk Mohamed | @shroukMohamed | Fingerprint Recognition, Pneumonia Detection |
| Ahmed Mamdouh | Fingerprint Recognition, Pneumonia Detection | |
| Moataz Emad | Fingerprint Recognition, Pneumonia Detection |
To each of you: thank you for your hard work, your curiosity, and your trust in the learning process. Your contributions will continue to inspire learners and researchers around the world.
Tasneem Selim
AI Researcher | Computer Vision Mentor
This project is licensed under the MIT License.
Intended for educational and research purposes.
