What does this research mean for the field?

The WHALESHAPE machine learning software can accurately estimate body length and volume across multiple cetacean species from UAV imagery, with length estimates generally within 5-10% of manual measurements. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate the performance of an automated computer vision tool (WHALESHAPE) for estimating body length and volume across diverse cetacean species using aerial drone imagery.

August 27, 2026Marine Mammal Science

A Computer Vision Framework for Estimating Body Size and Condition in Multiple Cetacean Species

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To evaluate the performance of an automated computer vision tool (WHALESHAPE) for estimating body length and volume across diverse cetacean species using aerial drone imagery.
Trained species-specific machine learning models on drone photogrammetry images of bowhead (N≈300), gray (N≈300), humpback (N≈300), and blue whales (N≈100).
Compared automated body length and volume estimates to manual photogrammetric measurements and prior baseline data from southern right whales (N≈470).
Species-corrected body length estimates fell within 5% of manual measurements for 94.6% of bowhead and 96.4% of blue whale images, and within 10% for the majority of gray and humpback whales.
Mean absolute errors for residual body volume after correction and filtering were 7.3% in bowhead whales, 9.4% in humpback whales, 10.1% in gray whales, and 12.0% in blue whales.

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Implication

Machine learning validation study demonstrates accurate body size and condition measurement across five whale species from drone imagery, highlighting scalable automated marine monitoring.

Cite This Study

Jeyasingh et al. (2026) studied this question.

synapsesocial.com/papers/6a8fea0d10c91c1e926221e7 https://doi.org/10.1111/mms.70269

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Implication

Machine learning validation study demonstrates accurate body size and condition measurement across five whale species from drone imagery, highlighting scalable automated marine monitoring.

A Computer Vision Framework for Estimating Body Size and Condition in Multiple Cetacean Species

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Discussion

Implication

Cite This Study

A Computer Vision Framework for Estimating Body Size and Condition in Multiple Cetacean Species

Key Points

Discussion

Implication

Cite This Study

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