Infrared Road Traffic Scene Dataset for Object Detection

IRTSDD is an infrared imaging dataset annotated for YOLO object detection tasks. It was sourced from IEEE DataPort, though the specific number of images and annotation details are not provided. The original author and creation date are unknown.

Use Cases

• Train YOLO models to detect vehicles and pedestrians in infrared road scenes.
• Benchmark object detection algorithm performance on thermal imaging data from IEEE DataPort.
• Develop traffic analysis tools using annotated infrared video frames for low-light conditions.

Strengths

• Annotations are specifically formatted for the YOLO object detection framework.
• Data originates from the authoritative IEEE DataPort repository.

Limitations

• The total number of images, annotated objects, and class distribution are unspecified.
• No information on geographic origin, time of day variation, or scene diversity is available.

Provenance

Source

IEEE DataPort

Collection Method

Annotated for YOLO tasks; original collection method unknown.