Vehicle Images With Object Detection Annotations

A collection of images annotated for object detection tasks, focusing on vehicles. The dataset was created by Francesco and last updated in March 2023. It is derived from the COCO dataset format.

Use Cases

• Train an object detection model to identify vehicles using the provided image annotations.
• Benchmark model performance on vehicle detection tasks using the standard COCO annotation format.
• Fine-tune a pre-trained detector on vehicle-specific image data.

Strengths

• Annotations follow the established COCO dataset format for object detection.
• Dataset was updated in March 2023.

Limitations

• Specific row count, image resolution, and number of annotated objects per image are unknown.
• The scope of vehicle types and potential geographic or environmental bias in the images is unclear.

Provenance

Source

Derived from the COCO dataset.

Collection Method

Crowdsourced annotations.

Freshness

2023-03-30

Geography

United States