Self-Driving Car Images in YOLO Annotation Format

A dataset of images for autonomous vehicle perception, formatted for the YOLO object detection framework. The dataset is hosted on Kaggle, but its size, collection date, and creator are unknown. Columns and specific content require verification after download.

Use Cases

• Training a YOLO-based object detector for vehicles and pedestrians (inferred from domain, verify after download)
• Benchmarking object detection performance in driving scenarios (inferred from domain, verify after download)
• Fine-tuning pre-trained models on a specific set of road objects (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning tools.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, which limits suitability assessment.
• Data may reflect temporal or geographic bias inherent to its unspecified source.

Provenance

Source

Kaggle