Surveillance VLM Weapon and Knife Detection Dataset for Instruction Tuning

Simuletic's Surveillance VLM Weapon Knife Detection Dataset is an open-source subset of the Simuletic Safety VLM Dataset. It is designed for instruction tuning of Vision Language Models to locate weapons and knives, reason about threats, and avoid false positives. The dataset was last updated on December 17, 2025.

Use Cases

• Instruction tuning of Vision Language Models for object detection based on the described focus on locating weapons and knives.
• Training models to reason about threat levels based on the dataset's stated purpose of threat reasoning.
• Reducing false positive detections in security systems based on the description's mention of avoiding false positives.

Strengths

• Dataset is explicitly designed for instruction tuning of Vision Language Models.
• Focuses on three critical categories, as mentioned in the description.
• Last updated on 2025-12-17, indicating recent maintenance.

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, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Simuletic

Collection Method

Likely contains synthetic or simulated data, as inferred from the name 'Simuletic Safety VLM Dataset'.

Time Range

null

Freshness

Last updated 2025-12-17 12:57:41

Geography

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