BDCXR-3257: 3,257 Chest X-Rays with Pneumonia Labels from Bangladesh

3,257 clinically verified chest X-ray images collected from Dr. M.R. Khan Shishu Hospital & Institute of Child Health in Dhaka, Bangladesh, between 2024 and 2025. The dataset was created by Sabbir Hossain Durjoy and contains images categorized into Normal, Bacterial Pneumonia, and Viral Pneumonia classes. All images were independently annotated by two expert clinicians and underwent a preprocessing pipeline for quality and consistency.

Use Cases

• Training binary classifiers for pneumonia detection based on chest X-ray images.
• Developing multi-class models to differentiate between bacterial and viral pneumonia etiologies.
• Benchmarking model performance on a dataset with expert clinician annotations and high inter-annotator agreement.
• Studying the generalizability of diagnostic AI models on a demographically diverse, paediatric South Asian population.

Strengths

• Contains 3,257 chest X-ray images, providing a substantial volume for model training.
• Features expert clinician annotations with a reported Fleiss’ κ > 0.95, indicating near-perfect inter-annotator agreement.
• Includes a preprocessing pipeline (text removal, BPDFHE, manual cropping) applied for image quality and consistency.
• Explicitly focuses on a paediatric population from a South Asian clinical setting, addressing a noted gap in existing public datasets.

Limitations

• Row count for the primary data is unknown, which may limit suitability assessment for specific modeling tasks.
• Column-level documentation is absent; field semantics and image metadata must be inferred after download.
• The dataset's geographic scope is limited to a single hospital in Dhaka, Bangladesh, which may affect model generalizability to other regions.

Provenance

Source

Dr. M.R. Khan Shishu Hospital & Institute of Child Health, Dhaka, Bangladesh.

Collection Method

Chest X-ray images were selected from a broader collection of medical images, annotated independently by two expert doctors, and preprocessed.

Time Range

2024 to 2025

Freshness

Last updated 2026-04-30 20:03:11.

Geography

Dhaka, Bangladesh