Security AI Datasets Built for Real-World Edge Cases
Access licensed, privacy-safe CCTV and computer-vision datasets for weapon detection, incident detection, Counter-UAS, driver monitoring and other difficult visual AI problems. Purpose-built edge cases, hard negatives, CCTV scenarios, video sequences, YOLO annotations and VLM-ready data.
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One scene. Multiple evaluation scenarios. Train and test your models with synthetic data that captures rare events you can't collect in the real world.
Model Evaluation — In Development
Repeatable testing of YOLO and vision-language models against controlled CCTV video scenarios is not publicly available yet. Join the early-access waitlist. Join the early-access waitlist
Ready-to-train synthetic datasets
YOLO-annotated, privacy-safe, and licensed for commercial use. Skip months of collection — download and train today.
UAV & Aerial Battle Tank Detection Dataset (3K)
3,000 synthetic aerial and drone-view images of main battle tanks across desert, village, and open-field theaters. YOLO-annotated for defense and reconnaissance AI.
CCTV Weapon Detection Dataset (1K)
1,119 photorealistic synthetic CCTV images of people holding weapons, fully YOLO-annotated. Ready to train your detector today.
Weapon Detection: Handgun vs Bag of Chips (1K)
1,100 photorealistic synthetic CCTV images of people holding handguns vs chip bags. YOLO-annotated for person + weapon. Fix the 'Doritos Effect.'
Browse free. Licence a dataset when you're ready.
Paid plans are a monthly subscription that unlocks one dataset of your choice — not a one-time purchase. Cancel anytime.
Free
- Dataset previews & documentation
- Open-source samples
- No credit card required
Research
- 700 YOLO-annotated images
- One dataset of your choice
- Research & academic use only
Business
- All 1,000 YOLO-annotated images
- One dataset of your choice
- Full commercial licence
Need a dataset built to your exact specification?
Tell us your classes, environments, edge cases and target model — we deliver a fully-annotated synthetic dataset, ready to train. Used by security, defense, and industrial AI teams.
- Custom classes & taxonomies
- Your environments & camera angles
- YOLO / COCO / custom formats
- Commercial licence included
From One Photo to Thousands of Scenarios
See how we transform a single image into comprehensive training datasets with automated annotations.
Provide Your Environment
Upload a single photo of your environment where you want AI monitoring. This could be a hospital corridor, train station, retail store, or any other space.
Just one clean image of your empty environment. No people needed, ensuring complete privacy compliance from the start.
Describe What You Need
Tell us what scenarios you want to simulate—people walking, running, carrying objects, or specific behaviors you need to detect.
Our AI understands natural language prompts like "person running with backpack" or "someone falling in corridor." No technical expertise required—just describe what you need in plain English.
Get Diverse Synthetic Scenarios
Receive hundreds of photorealistic variations featuring different people, positions, angles, lighting conditions, and actions in your exact environment.
Each frame is unique yet consistent with your environment. Different body types, clothing styles, poses, and behaviors—creating the diversity your AI needs to generalize well. All 100% synthetic and privacy-compliant.
Automatic Annotations
Every generated frame is automatically annotated with precise bounding boxes and rich metadata. No manual labeling required - we handle it all.
Get frame-by-frame annotations identifying people, objects, actions, and any specific elements you need. All metadata is exported in standard formats (COCO, YOLO, Pascal VOC) ready for immediate use in your training pipeline.
Validation & Testing Datasets
Receive high-quality synthetic imagery showing realistic scenarios in your environment. Perfect for testing and validating your AI models before real-world deployment.
These validation datasets simulate real-world scenarios with consistent labeling, allowing you to test your model's performance on realistic edge cases. Identify and fix issues in a safe, controlled environment before going live.
Frequently Asked Questions
Everything you need to know about synthetic data for AI training
What is synthetic data for computer vision?
Synthetic data is artificially generated imagery that simulates real-world scenarios. It's used to train and test AI models without the privacy, safety, or cost concerns of collecting real footage. Simuletic creates photorealistic synthetic image datasets specifically for security, defense, and safety applications.
How does synthetic data compare to real-world data for AI training?
Synthetic data offers several advantages: perfect ground-truth labels (no manual annotation errors), unlimited diversity and edge cases, zero privacy concerns (GDPR-compliant by design), and the ability to simulate dangerous scenarios safely. Many models trained on synthetic data achieve equal or better performance than those trained on real data.
What industries benefit from Simuletic's synthetic datasets?
Our synthetic datasets serve security and surveillance (weapon/threat detection), automotive (driver monitoring systems), defense (drone/UAV detection), healthcare (fall detection, patient monitoring), industrial safety (PPE compliance, hazard detection), and smart cities (traffic analysis, crowd monitoring).
Is synthetic data GDPR compliant?
Yes. Since synthetic data is entirely computer-generated with no real individuals, it's inherently privacy-safe and GDPR-compliant. This eliminates consent requirements, data protection concerns, and the legal risks associated with collecting surveillance footage of real people.
Can I get a free sample of Simuletic datasets?
Yes! We offer open-source sample datasets on Kaggle and Hugging Face. These include weapon detection, knife detection, fall detection, and drone swarm datasets. Visit our Datasets page to download free samples and explore our full catalog.
What do you need today?
Three ways to get production-ready synthetic data — pick what fits.