Building Footprints in Dar es Salaam with 8,485 Structures

Dar es Salaam, Tanzania, is covered by this dataset containing 566 high-resolution image tiles and corresponding building footprint vector labels. It includes 8,485 buildings and was created by MLHUB, last updated in January 2023. The data is a reviewed Tier 1 dataset from the RAMP project, originally sourced from the Open Cities AI Challenge before resampling drone imagery to 30 cm resolution.

Use Cases

• Train building detection models based on high-resolution imagery and footprint labels.
• Benchmark geospatial machine learning models using the reviewed Tier 1 dataset.
• Analyze urban density patterns in Dar es Salaam based on the 8,485 building footprints.
• Develop semantic segmentation models for land use classification based on tile/label pairs.

Strengths

• Contains 8,485 building footprint labels for model training.
• Includes 566 high-resolution image tiles in .tif format.
• Dataset is a reviewed and improved RAMP Tier 1 dataset.
• Imagery has a stated resolution of 30 cm.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

MLHUB, derived from the Open Cities AI Challenge Dataset.

Collection Method

Drone imagery was resampled to 30 cm and labeled data were improved.

Freshness

Last updated 2023-01-01 00:00:00; freshness should be verified.

Geography

Dar es Salaam, Tanzania