NCCE31_Natthapol_Scaffolding_Dataset

NCCE31_Natthapol_Scaffolding_Dataset is a multimodal dataset for research on using foundation models to create construction scaffolding masks for image segmentation. The dataset is 9.4 MB in size and includes JPG and JSON files. It was authored by Natthapol Saovana and last updated on April 24, 2026.

Use Cases

• Training multimodal foundation models for construction scene segmentation based on scaffolding masks.
• Benchmarking image segmentation algorithms on construction-specific imagery.
• Developing automated safety inspection systems based on scaffolding detection.
• Researching the application of multimodal AI in construction industry workflows.

Strengths

• Dataset size is 9.4 MB, indicating a manageable download.
• Includes both JPG image files and JSON annotation files, likely providing paired data.
• Dataset is licensed under MIT, allowing for flexible reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-04-24 17:50:01; freshness should be verified.