Git-10M: A Global-Scale Remote Sensing Dataset with Over 10 Million Image-Text Pairs

Over 10 million image-text pairs constitute this global-scale remote sensing dataset, which also includes geographical location and resolution information. The dataset was authored by 'lcybuaa' and was last updated on the Hugging Face platform in June 2025.

Use Cases

• Training image-text retrieval models based on the described global-scale satellite imagery and captions.
• Developing geolocation-aware vision-language models based on the included geographical location data.
• Benchmarking remote sensing image captioning algorithms based on the large collection of image-text pairs.
• Conducting cross-modal analysis for Earth observation tasks based on the paired imagery and descriptive text.

Strengths

• Contains over 10 million data points, indicating a large-scale collection.
• Includes multiple data modalities: images, text, and geographical coordinates.
• Covers a global geographical scale, as stated in the description.

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.
• The dataset's license is described as restrictive (CC-BY-NC-ND-4.0), prohibiting modification and redistribution.

Provenance

Source

Hugging Face, author lcybuaa.

Collection Method

Likely aggregated from remote sensing sources; specific method is not detailed.

Time Range

null

Freshness

Last updated 2025-06-28 07:12:18; freshness should be verified.

Geography

Global-scale, as stated in the description.