In-Cabin Object Left-Behind Image Dataset

This dataset consists of in-cabin surveillance images captured from both RGB and infrared (IR) cameras.

It covers a wide range of common objects left behind inside vehicles, as well as typical placement areas such as the driver seat, center console, passenger seat, and rear seats.

The dataset is suitable for tasks such as in-vehicle object recognition, detection, and behavior analysis.

This dataset contains over 20,000 high-quality annotated images.The estimated price is approximately €8,000, and can be adjusted based on delivery format, licensing scope, and customization requirements.

Keywords: in-cabin monitoring, object detection, left-behind items

Use Cases: in-cabin sentinel systems for autonomous vehicles, forgotten item alerts, intelligent interior perception systems

Resolution: 1920×1080

Color Space: RGB / Infrared (IR)

Capture Devices: in-vehicle RGB cameras and infrared cameras

Capture Conditions: fixed in-vehicle perspectives under natural or assisted lighting conditions; covers multiple zones including driver seat, dashboard, passenger seat, and rear seats; includes variations in weather and illumination

Annotation Format: JSON

Annotation Type: Object bounding boxes (item locations)