IDD: Integrated Drone Dataset for Semantic Segmentation

Integrated Drone Dataset (IDD) is a combination of VDD, UDD, and UAVid datasets, re-annotated to a common standard. It was published in the Journal of Visual Communication and Image Representation, with a related paper available on arXiv. The dataset was last updated on the Hugging Face platform on 2026-04-08.

Use Cases

• Train semantic segmentation models based on re-annotated drone imagery.
• Benchmark model performance on a unified aerial view dataset.
• Conduct research on urban or environmental scene understanding from drone perspectives.

Strengths

• Combines three established drone imagery datasets (VDD, UDD, UAVid).
• Features re-annotated labels to ensure a consistent standard across sources.
• Associated with a peer-reviewed publication in the Journal of Visual Communication and Image Representation.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic or source bias inherent to the constituent datasets.

Provenance

Source

Combination of VDD, UDD, and UAVid datasets.

Collection Method

Re-annotation of UDD and UAVid to comply with VDD standards.

Freshness

Last updated 2026-04-08 17:39:21; freshness should be verified.