K-Vehicles: A Remote Sensing Dataset for Vehicle Detection in Aerial Imagery

K-Vehicles is a new dataset for vehicle detection in aerial imagery, presented at the Second IEEE/CVF Workshop on Computer Vision for Geospatial Image Analysis (GeoCV) @ WACV 2026. The dataset was created by leoxthomas and is hosted on Hugging Face. It was last updated on January 7, -0001.

Use Cases

• Training vehicle detection models based on aerial imagery.
• Benchmarking object detection algorithms for remote sensing applications.
• Developing applications for traffic analysis or urban planning based on aerial vehicle data.

Strengths

• Dataset is associated with a peer-reviewed workshop (GeoCV @ WACV 2026).
• The dataset is specifically designed for the vehicle detection task in aerial imagery.

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.
• Row count, file formats, and specific license details are unknown.

Provenance

Source

leoxthomas

Collection Method

Likely collected from aerial or satellite imagery sources.

Time Range

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Freshness

Last updated 2026-01-07 16:36:58; freshness should be verified.

Geography

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