OpenStreetCLIP: Satellite Imagery Aligned with OpenStreetMap Metadata

OpenStreetCLIP Dataset contains satellite imagery aligned with OpenStreetMap vector metadata for training vision-language models. The dataset is organized into sharded TAR archives for efficient streaming. It was uploaded by alessiopierdominici to Hugging Face and last updated on 2026-05-10.

Use Cases

• Train vision-language models based on satellite imagery and OpenStreetMap metadata.
• Evaluate model performance on patch-level semantic segmentation tasks.
• Develop geospatial foundation models using aligned image-vector data.
• Fine-tune CLIP-like models for satellite image understanding.

Strengths

• High-resolution satellite images at 600x600 pixels.
• Data is organized into sharded TAR archives for efficient streaming.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last updated 2026-05-10 10:43:19; freshness should be verified.

Provenance

Source

alessiopierdominici on Hugging Face

Collection Method

Aligned satellite imagery with OpenStreetMap vector metadata.

Freshness

2026-05-10 10:43:19