Car Parts Segmentation

Car part images categorized for semantic segmentation and object detection tasks provided by the DSMLR lab at IT-KMITL. This collection enables the training of computer vision models to identify and delineate specific automotive components within visual data.

Use Cases

• Train semantic segmentation models using the car part annotations.
• Develop object detection algorithms using the automotive component labels.
• Benchmark computer vision models on specialized automotive data from the DSMLR lab.

Strengths

• Includes semantic segmentation annotations for car parts.
• Features object detection labels for automotive components.
• Sourced from the DSMLR lab at IT-KMITL.