UAV Dataset: Aerial Imagery in COCO Format

uavdatasetcoco is a dataset of aerial imagery from Unmanned Aerial Vehicles (UAVs) available on Kaggle. The dataset is formatted according to the Common Objects in Context (COCO) standard, which likely contains annotations for object detection or segmentation tasks. Specific details on the number of images, annotation types, and collection methodology are not provided in the available metadata.

Use Cases

• Train an object detector to identify vehicles or infrastructure from aerial views (inferred from domain, verify after download)
• Benchmark segmentation models on UAV-captured imagery using COCO evaluation metrics (inferred from domain, verify after download)
• Fine-tune pre-trained models for specific aerial surveillance applications (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning tools.
• Uses the COCO format, a widely adopted standard that facilitates interoperability with many computer vision frameworks.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle