A Primary Chest X-ray Dataset of Normal Bangladesh

The dataset is designed for the study and development of deep learning and machine learning models for pneumonia detection and classification. This dataset contains 3,355 primary chest X-ray images collected from Epic Chittagong, Bangladesh, categorized into two classes: (1) Normal (2) Pneumonia 📊 Dataset Composition --------------------------------- Training Data : => Normal: 321 images => Pneumonia: 321 images => Total Training Samples: 642 Testing Data : ------------------- Normal: 1,363 images => Pneumonia: 1,350 images => Total Testing Samples: 2,713 👉 Grand Total: 3,355 X-ray images 📂 Folder Structure : ------------------------- /Chest_Xray_EpicChittagong_Dataset/ ├── train/ │ ├── Normal/ │ └── Pneumonia/ ├── test/ │ ├── Normal/ │ └── Pneumonia/ 📷 Image Details : ------------------------ Format: JPEG / PNG Modality: Chest X-ray (CXR) Color: Grayscale Source: Epic Chittagong, Bangladesh 2025 Status: Primary dataset (raw and unprocessed) 🧪 Applications : --------------------- => Pneumonia vs. Normal chest X-ray classification => Deep learning model training (CNN, transfer learning) => Benchmarking medical imaging algorithms => Computer-aided diagnosis (CAD) => Radiology research and teaching 📬 Contact : ------------------ For questions or collaboration Email: hiramdirfanulkabir@gmail.com 🎓 Department of Computer Science and Engineering 🏛️ Institutions : -------------------- Epic Chittagong, Bangladesh National Institute of Textile Engineering and Research University of Dhaka 📚 Categories : ---------------------- Computer Science, Radiology, Health Sciences, Artificial Intelligence, Computer Vision, Medical Imaging, Pneumonia, Chest X-ray, Deep Learning, Machine Learning