Synthetic CCTV Weapon Detection Images with Bounding Box Annotations

An open-source synthetic dataset for computer vision object detection tasks. It contains high-quality, realistic images simulating people holding weapons in public areas from CCTV camera perspectives. The dataset was created by Simuletic and was last updated on October 28, 2025.

Use Cases

• Train object detection models based on synthetic images of people and weapons.
• Benchmark model performance on security-focused scenarios based on CCTV-style imagery.
• Augment real-world training data with synthetic examples based on the described classes and annotations.
• Develop weapon detection systems for public safety based on the dataset's focus on weapons like guns and knives.

Strengths

• Annotations are provided in YOLO format for easy integration with models like YOLOv8.
• Images are described as high-quality and realistic synthetic data.
• Dataset was updated on October 28, 2025, suggesting recent maintenance.

Limitations

• Row count, file formats, and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is synthetic, which may not fully capture the complexity and variance of real-world CCTV footage.

Provenance

Source

Simuletic via Hugging Face

Collection Method

Synthetically generated images.

Time Range

null

Freshness

Last updated 2025-10-28 21:40:00

Geography

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