BD Brickfield Map: Brick Kiln Annotations Across Bangladesh for 2019 and 2023

A large-scale, multi-modal geospatial dataset for monitoring the brick manufacturing industry in Bangladesh. It contains approximately 200,000 files derived from 2.22 m/pixel Bing satellite imagery, covering all 64 administrative districts across a total area of 147,570 km² for the years 2019 and 2023. The dataset, created by Rashid, Sami of CCDS, provides three annotation modalities: segmentation masks, detection bounding boxes, and technology-type labels.

Use Cases

• Semantic segmentation of brick kiln footprints based on pixel-level masks.
• Object detection and geolocation of brickfields based on axis-aligned bounding box annotations.
• Classification of brick kiln technology types (e.g., Fixed Chimney, Zigzag) based on categorical labels.
• Temporal analysis of brickfield distribution and technology adoption between 2019 and 2023.

Strengths

• Nationwide coverage across all 64 administrative districts of Bangladesh.
• Multi-temporal snapshots for 2019 and 2023, enabling change detection.
• Provides three distinct annotation modalities (segmentation, detection, classification) for the same features.
• Covers a total area of 147,570 km² derived from approximately 200,000 satellite image files.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific model training needs.
• The dataset's specific file formats and internal structure are not described.

Provenance

Source

CCDS, authored by Rashid, Sami.

Collection Method

Derived from 2.22 m/pixel Bing satellite imagery.

Time Range

2019 and 2023.

Freshness

Last updated 2026-04-11 20:27:18; freshness should be verified.

Geography

Nationwide coverage of Bangladesh.