Car Part Damage Images with Detection Annotations

An image dataset for detecting and segmenting damaged car parts. Each example contains an RGB image with annotations including bounding boxes and segmentation polygons for labeled car parts. The dataset was created by author 'moondream' and was last updated on 2026-01 -19.

Use Cases

• Train object detection models based on the bounding box annotations for car parts.
• Develop image segmentation models based on the polygon segmentation data.
• Build systems for automated vehicle damage assessment based on the labeled part damage.
• Fine-tune vision models for specific car part recognition tasks.

Strengths

• Annotations include both bounding boxes (bbox) and detailed segmentation polygons.
• Images contain pixel-level width and height metadata.
• Data format is described as COCO-like, suggesting a standardized annotation structure.

Limitations

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

Provenance

Source

huggingface

Collection Method

Method of data gathering is not specified in the provided description.

Time Range

Temporal coverage is not specified.

Freshness

Last updated 2026-01-19 23:23:55; freshness should be verified.

Geography

Spatial coverage is not specified.