CCTV Knife Detection Dataset
This knife detection dataset addresses one of the hardest challenges in security AI: detecting small, partially occluded bladed weapons in CCTV footage. Knives are significantly harder to detect than firearms due to their small size, reflective surfaces, and easy concealment. This synthetic dataset provides over 1,200 high-resolution images rendered from realistic CCTV perspectives with accurate bounding boxes around both the person and the knife. Scenarios include kitchens, streets, corridors, and public areas. The dataset features varied hand grips, concealment poses, and lighting ranging from fluorescent indoor to low-light outdoor conditions. The open-source sample includes 114 annotated images for experimentation.
1,200 images
Full Package
114
Open Source Samples
YOLO
Annotation Format
100%
Privacy Compliant
Dataset Features
Intended Use Cases
Free Sample vs. Commercial Package
Free Open-Source Sample
- 114 annotated images
- Format: YOLO
- Hosted on Kaggle
- Hosted on Hugging Face
- Licence: See the hosting platform's terms of use
Commercial Package
- 1,200 images
- Format: YOLO
- Licence: Student & Research or Business licence
The Creative Commons licence above applies only to the free sample, not to the full commercial package.
Limitations & Recommended Validation
This dataset is 100% synthetic. While it is designed to closely match real-world sensor and camera conditions, synthetic imagery can still differ from live footage in ways that affect model accuracy (a "domain gap"). Validate a trained model against real-world footage from your specific deployment environment before production use.
Not intended as a sole basis for biometric identification, legal evidence, or safety-critical decisions without independent human review and real-world testing.