BDD100K: 100,000 Images for Autonomous Driving Research

BDD100K-Images is a mirror of the Berkeley DeepDrive dataset, redistributed for educational and research use. The dataset contains 100,000 images, as indicated by its title, and is maintained by user karthik789338 on Hugging Face. The repository was last updated on 2026-04-27.

Use Cases

• Train object detection models based on the street scene imagery.
• Benchmark autonomous driving perception systems based on the diverse driving scenarios.
• Conduct research on camera calibration for autonomous vehicles based on the image data.
• Develop and test scene segmentation algorithms based on the urban and highway environments.

Strengths

• Contains 100,000 images, as indicated by the dataset title.
• Sourced from the established Berkeley DeepDrive (BDD100K) project.
• Last update timestamp is 2026-04-27 00:36:56.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Berkeley DeepDrive (BDD100K) project.

Collection Method

Mirrored from the original source for redistribution.

Time Range

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Freshness

Last updated 2026-04-27 00:36:56; freshness should be verified.

Geography

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