NEST3D: 104 Sociable Weaver Nests with Drone RGB, Multispectral, and 3D Point Clouds

NEST3D is a multimodal dataset of 104 sociable weaver nests. It combines drone-based RGB and multispectral imagery with semantically annotated 3D RGB point clouds. The dataset was created by the NEST3D organization and was last updated on the platform in February 2026.

Use Cases

• Benchmarking semantic segmentation models based on the semantically annotated 3D point clouds.
• Developing multimodal fusion techniques based on the combined RGB and multispectral imagery.
• Advancing scene understanding methods for ecological structures based on the high-resolution drone-captured nests.
• Training models for object detection and classification in complex natural scenes based on the tree and nest imagery.

Strengths

• Contains 104 distinct sociable weaver nest samples.
• Integrates three data modalities: drone RGB, multispectral imagery, and 3D point clouds.
• Point clouds are semantically annotated, providing ground truth for segmentation tasks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the specific collection location.

Provenance

Source

NEST3D

Collection Method

Data was captured using drone-based remote sensing of trees hosting sociable weaver nests.

Freshness

Last updated 2026-02-08 11:08:41; freshness should be verified.