MM5: RGB, Depth, Thermal, UV, and NIR Image Collection

A 16.6 GB multimodal dataset containing images across five modalities: RGB, Depth, Thermal (LWIR), Ultraviolet (UV), and Near-Infrared (NIR). The data is annotated and includes calibrated and aligned images, authored by Martin Brenner and last updated on April 11, 2026.

Use Cases

• Develop sensor fusion models based on the five aligned image modalities.
• Train cross-modal translation networks based on the RGB, Depth, Thermal, UV, and NIR data.
• Benchmark multimodal object detection or segmentation based on the annotated data.
• Research thermal and near-infrared feature extraction based on the LWIR and NIR channels.

Strengths

• Contains five distinct, calibrated, and aligned image modalities.
• Dataset size is 16.6 GB, indicating substantial data volume.
• Includes annotations, which can support supervised learning tasks.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Martin Brenner via figshare

Collection Method

Likely captured using a multi-sensor imaging setup.

Time Range

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Freshness

Last updated 2026-04-11 23:46:51; freshness should be verified.

Geography

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