Underwater Multi-View Images for Grouper 3D Reconstruction and Biomass Estimation

614.8 MB of multi-view stereo (MVS) datasets captured in real aquaculture environments and constructed in Blender. The data, authored by 鹏举 闫 and last updated on 2026-04-28, is intended for non-contact body length measurement and biomass estimation of grouper fish. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Training 3D reconstruction models based on underwater multi-view stereo images.
• Developing non-contact fish biomass estimation algorithms based on reconstructed 3D models.
• Benchmarking computer vision pipelines for aquaculture automation based on real-environment imagery.

Strengths

• Data is 614.8 MB in size, indicating a medium-scale collection of images or 3D models.
• Datasets were captured in real aquaculture environments, suggesting real-world applicability.
• Explicitly created for a specific research task: non-contact body length and biomass estimation.

Limitations

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

Provenance

Source

figshare

Collection Method

MVS datasets captured in real aquaculture environments and constructed in Blender.

Time Range

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Freshness

Last updated 2026-04-28 03:05:43; freshness should be verified.

Geography

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