Peruvian Banknotes Detection Dataset in COCO Format

A dataset for object detection tasks focused on Peruvian currency. It is formatted in the COCO (Common Objects in Context) annotation standard, which suggests it contains images with bounding box annotations. The dataset is hosted on Kaggle, but its specific scale, creator, and update date are unknown.

Use Cases

• Train an object detection model to identify and localize Peruvian banknotes in images (inferred from domain, verify after download)
• Benchmark model performance on a specific, culturally distinct class of objects (inferred from domain, verify after download)
• Develop a prototype for automated currency verification or counting systems (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with an active community for sharing datasets.
• Uses the widely adopted COCO annotation format, which facilitates compatibility with many existing machine learning tools and frameworks.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, image count, and annotation details are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Kaggle

Geography

Peru