# Simuletic

> Synthetic CCTV and security datasets for training and testing computer
> vision models: weapons, knives, fights, falls, shoplifting, fire and drones,
> with hard negatives, labelled in YOLO and COCO.

Simuletic is a Swedish company (since 2023) that sells synthetic CCTV and security datasets for computer vision: 16 datasets with YOLO and COCO labels, one-time licences from $149 (research) and $590 (commercial), free samples on Hugging Face, Kaggle and GitHub, and detectors measured on real footage.

Simuletic sells three things:
- Dataset licences (per image dataset, 1,000 images, one-time, perpetual):
  research (students, non-commercial) or commercial; prices are on
  https://simuletic.com/pricing. Every image dataset also comes as packs of
  5,000 ($2,400), 10,000 ($4,500) and 20,000 images ($8,500), commercial
  licence only (research covers 1,000 images), one-time, download link
  within five working days. Video datasets (CCTV Shoplifting Detection) and
  packages beyond 20,000 images (the 50,000-image Pedestrian package) are
  quoted; enterprise projects start at $10,000.
- False-Positive Stress Test: a customer's detector run against hard negatives
  and edge cases, with a failure report. $1,500, five working days.
- Custom datasets rendered into the customer's own camera views and classes,
  as images, video clips, or both. Images from $1,500 for 2,500 annotated
  images; 5,000+ images by quote at a lower price per image. Video clips
  (fights, falls, weapon draws, shoplifting, smoke/fire onset, loitering) come
  with per-frame boxes, tracking IDs and event start/end times, and are quoted
  per project.

The generation platform behind the datasets (generate, label, QA-check every
image) has no self-serve access yet; generation runs are done on request:
https://simuletic.com/platform.
An API and MCP server for ordering data from code or AI agents is coming soon;
there is an early-access list at https://simuletic.com/api. It has no public pricing yet.

Every page listed below is also available as plain Markdown at the same URL
with ".md" appended (for example https://simuletic.com/pricing.md); the full
text of the site is in https://simuletic.com/llms-full.txt.

Free samples of most datasets are published on Hugging Face
(https://huggingface.co/collections/Simuletic/synthetic-cctv-and-security-datasets-free-samples-6ae1f208e6dd01e15ef22a2d),
Kaggle (https://www.kaggle.com/simuletic) and GitHub (https://github.com/Simuletic).

Measured results: detectors trained only on Simuletic data and scored on public
real-footage test sets are published under https://simuletic.com/models and
https://simuletic.com/case-studies (fall detection: 97% of lying frames caught at 5% false
alarms on CAUCAFall; 83–87% of falls caught in a second home, GMDCSA-24, where a
real-footage-only model caught 24%).

Programme memberships (membership only, not endorsements):
- NVIDIA Inception (https://www.nvidia.com/en-us/startups/): Gives us access to the NVIDIA ecosystem, including GPU resources and introductions to investors.
- Claude for Startups (https://claude.com/programs/startups): Provides model credits that we use in the quality-assurance step of our data pipeline.
- Databricks Partner Program (https://www.databricks.com/partners): Lets us deliver our datasets into customers' Databricks environments.
- Snowflake Partner Network (https://www.snowflake.com/en/why-snowflake/partners/): Lets us deliver our datasets into customers' Snowflake accounts.

Contact: contact@simuletic.com

## Core pages

- [https://simuletic.com/](https://simuletic.com/): Synthetic CCTV and security datasets, stress tests and custom data — start here. ([Markdown](https://simuletic.com/index.md))
- [https://simuletic.com/datasets](https://simuletic.com/datasets): Catalogue of licensable synthetic CCTV and security computer-vision datasets. ([Markdown](https://simuletic.com/datasets.md))
- [https://simuletic.com/models](https://simuletic.com/models): Simuletic CCTV state models: detectors trained on the synthetic datasets and measured on real footage; research previews, results, release plan. ([Markdown](https://simuletic.com/models.md))
- [https://simuletic.com/case-studies](https://simuletic.com/case-studies): Measured tests of Simuletic data and models on real footage: method, full results, misses and what was not measured. ([Markdown](https://simuletic.com/case-studies.md))
- [https://simuletic.com/custom-data](https://simuletic.com/custom-data): Custom synthetic datasets rendered into the customer's own camera views. ([Markdown](https://simuletic.com/custom-data.md))
- [https://simuletic.com/stress-test](https://simuletic.com/stress-test): False-Positive Stress Test: a detector run against hard negatives and edge cases, with a failure report. ([Markdown](https://simuletic.com/stress-test.md))
- [https://simuletic.com/platform](https://simuletic.com/platform): The generation platform behind every dataset: generate, label and QA-check CCTV images and video. Generation runs on request; no self-serve access yet. ([Markdown](https://simuletic.com/platform.md))
- [https://simuletic.com/api](https://simuletic.com/api): API and MCP server for synthetic training data: coming soon, with an early-access list. ([Markdown](https://simuletic.com/api.md))
- [https://simuletic.com/pricing](https://simuletic.com/pricing): One-time prices for dataset licences (research and commercial), stress tests and custom datasets. ([Markdown](https://simuletic.com/pricing.md))
- [https://simuletic.com/solutions](https://simuletic.com/solutions): What Simuletic does: ready-to-use datasets, custom datasets, the False-Positive Stress Test, and live stream evaluation and self-generation coming next. ([Markdown](https://simuletic.com/solutions.md))
- [https://simuletic.com/use-cases](https://simuletic.com/use-cases): Industries that use synthetic CCTV data, with the datasets and articles for each. ([Markdown](https://simuletic.com/use-cases.md))
- [https://simuletic.com/vlm](https://simuletic.com/vlm): VLM training data: grounded captions, instruction/QA pairs and event-level video captions for vision-language models. ([Markdown](https://simuletic.com/vlm.md))
- [https://simuletic.com/resources](https://simuletic.com/resources): Guides and articles on synthetic data for security computer vision. ([Markdown](https://simuletic.com/resources.md))
- [https://simuletic.com/blog](https://simuletic.com/blog): Articles on dataset construction, evaluation and results. ([Markdown](https://simuletic.com/blog.md))
- [https://simuletic.com/guides](https://simuletic.com/guides): Technical guides on synthetic data, annotation and model training. ([Markdown](https://simuletic.com/guides.md))
- [https://simuletic.com/videos](https://simuletic.com/videos): Sample videos: short synthetic CCTV and drone clips from the datasets, one page per clip. ([Markdown](https://simuletic.com/videos.md))
- [https://simuletic.com/models/fall-detection-model](https://simuletic.com/models/fall-detection-model): Fall Detection Model: A fall detection model trained only on synthetic CCTV images: 97% of people lying on the floor caught on real footage at 5% false alarms. D-FINE Small and Nano. ([Markdown](https://simuletic.com/models/fall-detection-model.md))
- [https://simuletic.com/case-studies/synthetic-only-fall-model-on-real-footage](https://simuletic.com/case-studies/synthetic-only-fall-model-on-real-footage): Real-footage test of lying-on-the-ground detectors trained only on synthetic CCTV images: full results table, method, video, caveats. ([Markdown](https://simuletic.com/case-studies/synthetic-only-fall-model-on-real-footage.md))

## Datasets

- [https://simuletic.com/datasets/cctv](https://simuletic.com/datasets/cctv): Synthetic CCTV datasets for weapon, knife, fall, fight, shoplifting, ATM robbery and smoke detection, labelled in YOLO and COCO. Free samples; licences from $149. ([Markdown](https://simuletic.com/datasets/cctv.md))
- [https://simuletic.com/datasets/video](https://simuletic.com/datasets/video): Synthetic video datasets and evaluation clips for shoplifting, falls, drones and weapons, with per-frame boxes, pose and captions. Free samples, clear licences. ([Markdown](https://simuletic.com/datasets/video.md))
- [https://simuletic.com/datasets/drone](https://simuletic.com/datasets/drone): Synthetic drone detection datasets: drones over airports, small-drone swarms in clutter, civilian vs armed UAVs, armour from the air. YOLO labels, free samples. ([Markdown](https://simuletic.com/datasets/drone.md))
- [https://simuletic.com/datasets/yolo](https://simuletic.com/datasets/yolo): Datasets in YOLO format for YOLOv5, YOLOv8, YOLO11 and YOLO26: weapons, knives, falls, fights, fire, drones. Fixed train/val split, COCO JSON included, free samples. ([Markdown](https://simuletic.com/datasets/yolo.md))
- [https://simuletic.com/datasets/uav-aerial-battle-tank-detection-dataset](https://simuletic.com/datasets/uav-aerial-battle-tank-detection-dataset): Synthetic aerial dataset for battle tank detection from UAV and drone perspectives. 3,000 YOLO-annotated images with 164 open-source samples on Kaggle. ([Markdown](https://simuletic.com/datasets/uav-aerial-battle-tank-detection-dataset.md))
- [https://simuletic.com/datasets/cctv-shoplifting-detection-dataset](https://simuletic.com/datasets/cctv-shoplifting-detection-dataset): Train a shoplifting detection model: 5,000+ synthetic CCTV frames and 100+ videos with YOLO, pose and VLM labels. Free 400-image sample on Kaggle. ([Markdown](https://simuletic.com/datasets/cctv-shoplifting-detection-dataset.md))
- [https://simuletic.com/datasets/cctv-atm-robbery-detection-dataset](https://simuletic.com/datasets/cctv-atm-robbery-detection-dataset): Synthetic ATM robbery detection dataset with 3,000 YOLO images. Four classes: offender, victim, gun, knife. 237 open-source samples on Kaggle. ([Markdown](https://simuletic.com/datasets/cctv-atm-robbery-detection-dataset.md))
- [https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset](https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset): Smoke and fire detection dataset: 1,000 synthetic CCTV images of early-stage fires plus look-alike negatives, person/smoke/fire boxes in YOLO and COCO. ([Markdown](https://simuletic.com/datasets/cctv-smoke-fire-emergency-detection-dataset.md))
- [https://simuletic.com/datasets/long-distance-wildfire-smoke-detection-dataset](https://simuletic.com/datasets/long-distance-wildfire-smoke-detection-dataset): Wildfire smoke detection dataset: 1,000 synthetic fire-lookout images with smoke and wildfire boxes in YOLO and COCO, night fires and look-alike negatives. ([Markdown](https://simuletic.com/datasets/long-distance-wildfire-smoke-detection-dataset.md))
- [https://simuletic.com/datasets/cctv-weapon-detection-dataset](https://simuletic.com/datasets/cctv-weapon-detection-dataset): Train AI weapon detection on 1,000 synthetic CCTV images: handguns, rifles, shotguns and look-alike negatives, labelled in YOLO and COCO. Free sample included. ([Markdown](https://simuletic.com/datasets/cctv-weapon-detection-dataset.md))
- [https://simuletic.com/datasets/cctv-knife-detection-dataset](https://simuletic.com/datasets/cctv-knife-detection-dataset): Synthetic knife detection dataset: 1,000 CCTV images of people holding knives plus look-alike negatives, labelled in YOLO and COCO. Free sample. ([Markdown](https://simuletic.com/datasets/cctv-knife-detection-dataset.md))
- [https://simuletic.com/datasets/cctv-fall-incident-detection-dataset](https://simuletic.com/datasets/cctv-fall-incident-detection-dataset): Synthetic fall detection dataset: 1,000 CCTV images of fallen people plus sitting and kneeling look-alikes, labelled person / fallen_person in YOLO and COCO. ([Markdown](https://simuletic.com/datasets/cctv-fall-incident-detection-dataset.md))
- [https://simuletic.com/datasets/airport-drone-threat-safety-dataset](https://simuletic.com/datasets/airport-drone-threat-safety-dataset): Synthetic airport drone detection dataset: 1,200 YOLO images, small-object focus, adverse weather, bird-vs-drone labels. GDPR compliant. ([Markdown](https://simuletic.com/datasets/airport-drone-threat-safety-dataset.md))
- [https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset](https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset): Fight detection dataset: 1,000 synthetic CCTV images with person boxes, 17-keypoint poses and fight boxes in YOLO-pose and COCO, plus look-alike negatives. ([Markdown](https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset.md))
- [https://simuletic.com/datasets/pedestrian-attribute-recognition-dataset](https://simuletic.com/datasets/pedestrian-attribute-recognition-dataset): Synthetic pedestrian attribute dataset — a PA-100k alternative with captions and structured labels for ViT, CLIP and Re-ID. Free 996-image sample. ([Markdown](https://simuletic.com/datasets/pedestrian-attribute-recognition-dataset.md))
- [https://simuletic.com/datasets/cctv-weapon-detection-rifles-vs-umbrellas](https://simuletic.com/datasets/cctv-weapon-detection-rifles-vs-umbrellas): Synthetic hard-negative dataset: rifles vs umbrellas to cut weapon-detection false positives. 1,000 YOLO images. Open-source sample available. ([Markdown](https://simuletic.com/datasets/cctv-weapon-detection-rifles-vs-umbrellas.md))
- [https://simuletic.com/datasets/weapon-detection-handgun-vs-chips](https://simuletic.com/datasets/weapon-detection-handgun-vs-chips): Fix the 'Doritos Effect' in weapon detection AI with handgun vs chip-bag hard negatives. 1,100 YOLO images. Open-source sample available. ([Markdown](https://simuletic.com/datasets/weapon-detection-handgun-vs-chips.md))
- [https://simuletic.com/datasets/military-drone-swarm-saturation-attack-dataset](https://simuletic.com/datasets/military-drone-swarm-saturation-attack-dataset): Synthetic drone swarm dataset for Counter-UAS training. 5-15 drones per frame, 10-50 pixel objects, adverse weather. 1,000+ YOLO-annotated images. ([Markdown](https://simuletic.com/datasets/military-drone-swarm-saturation-attack-dataset.md))
- [https://simuletic.com/datasets/drone-civilian-armed-military-detection-dataset](https://simuletic.com/datasets/drone-civilian-armed-military-detection-dataset): Synthetic drone-perspective dataset distinguishing civilians from armed personnel. 800 YOLO images for aerial surveillance AI training. ([Markdown](https://simuletic.com/datasets/drone-civilian-armed-military-detection-dataset.md))
- [https://simuletic.com/datasets/driver-drowsiness-detection-dataset](https://simuletic.com/datasets/driver-drowsiness-detection-dataset): Synthetic driver drowsiness dataset with 10,000 images and pixel-perfect eye keypoint annotations. 168 open-source samples. Ideal for fatigue detection AI. ([Markdown](https://simuletic.com/datasets/driver-drowsiness-detection-dataset.md))

## Guides

- [https://simuletic.com/guides/what-cctv-training-data-costs](https://simuletic.com/guides/what-cctv-training-data-costs): Price check for CCTV training data: public datasets $0, staged real footage $1,000–$30,000 per set, synthetic datasets $149–$8,500, rendering platforms $5,000+ a month. ([Markdown](https://simuletic.com/guides/what-cctv-training-data-costs.md))
- [https://simuletic.com/guides/what-is-synthetic-data-for-computer-vision](https://simuletic.com/guides/what-is-synthetic-data-for-computer-vision): Definition, methods and trade-offs of synthetic data for computer vision. ([Markdown](https://simuletic.com/guides/what-is-synthetic-data-for-computer-vision.md))
- [https://simuletic.com/guides/what-is-dataset-distillation](https://simuletic.com/guides/what-is-dataset-distillation): Dataset distillation explained for vision practitioners. ([Markdown](https://simuletic.com/guides/what-is-dataset-distillation.md))
- [https://simuletic.com/guides/video-datasets-for-computer-vision](https://simuletic.com/guides/video-datasets-for-computer-vision): 15 public video datasets for computer vision compared (UCF101 to UBnormal): size, classes, camera, licence, and what none covers. ([Markdown](https://simuletic.com/guides/video-datasets-for-computer-vision.md))
- [https://simuletic.com/guides/cctv-video-anomaly-detection-dataset](https://simuletic.com/guides/cctv-video-anomaly-detection-dataset): Video anomaly detection on CCTV: data requirements and metrics. ([Markdown](https://simuletic.com/guides/cctv-video-anomaly-detection-dataset.md))
- [https://simuletic.com/guides/synthetic-data-vs-real-data-comparison](https://simuletic.com/guides/synthetic-data-vs-real-data-comparison): Synthetic versus real training data, compared field by field. ([Markdown](https://simuletic.com/guides/synthetic-data-vs-real-data-comparison.md))
- [https://simuletic.com/guides/human-activity-recognition-dataset](https://simuletic.com/guides/human-activity-recognition-dataset): Human activity recognition (HAR) datasets and labelling schemes. ([Markdown](https://simuletic.com/guides/human-activity-recognition-dataset.md))
- [https://simuletic.com/guides/synthetic-data-for-yolo-training](https://simuletic.com/guides/synthetic-data-for-yolo-training): Training YOLO models on synthetic data, end to end. ([Markdown](https://simuletic.com/guides/synthetic-data-for-yolo-training.md))
- [https://simuletic.com/guides/violence-detection-datasets-compared](https://simuletic.com/guides/violence-detection-datasets-compared): Eight public fight and violence datasets compared on size, source, labels and licence, with hard-negative advice. ([Markdown](https://simuletic.com/guides/violence-detection-datasets-compared.md))
- [https://simuletic.com/guides/weapon-detection-datasets-compared](https://simuletic.com/guides/weapon-detection-datasets-compared): Public gun and knife detection datasets compared, licence traps, and why look-alikes cause false positives. ([Markdown](https://simuletic.com/guides/weapon-detection-datasets-compared.md))
- [https://simuletic.com/guides/fall-detection-datasets-compared](https://simuletic.com/guides/fall-detection-datasets-compared): Public fall detection datasets compared: size, modality, camera setup, licence, and what CCTV and care homes still lack. ([Markdown](https://simuletic.com/guides/fall-detection-datasets-compared.md))
- [https://simuletic.com/guides/cctv-surveillance-datasets](https://simuletic.com/guides/cctv-surveillance-datasets): 17 public CCTV, surveillance and person datasets compared by task, size, camera, labels and licence, with a task-to-dataset map. ([Markdown](https://simuletic.com/guides/cctv-surveillance-datasets.md))
- [https://simuletic.com/guides/training-data-for-ai-security-cameras](https://simuletic.com/guides/training-data-for-ai-security-cameras): Buyer's checklist for AI security camera training data: classes, hard negatives, label formats, camera geometry, licences, validation, EU AI Act. ([Markdown](https://simuletic.com/guides/training-data-for-ai-security-cameras.md))
- [https://simuletic.com/guides/synthetic-only-fall-detection-d-fine-vs-yolo](https://simuletic.com/guides/synthetic-only-fall-detection-d-fine-vs-yolo): Synthetic-only D-FINE, RF-DETR and YOLO26 detectors for a person lying on the ground, scored on real CAUCAFall and GMDCSA-24 footage: method, full results, recipe, caveats. ([Markdown](https://simuletic.com/guides/synthetic-only-fall-detection-d-fine-vs-yolo.md))
- [https://simuletic.com/guides/yolo-licence-vs-dataset-licence](https://simuletic.com/guides/yolo-licence-vs-dataset-licence): Ultralytics AGPL-3.0 vs Enterprise, permissive detectors, CC BY / NC / research-only dataset licences and how Simuletic licences work. ([Markdown](https://simuletic.com/guides/yolo-licence-vs-dataset-licence.md))

## Articles

- [https://simuletic.com/blog/synthetic-video-future](https://simuletic.com/blog/synthetic-video-future): Synthetic CCTV video datasets: event clips, tracking IDs, temporal labels and captions. ([Markdown](https://simuletic.com/blog/synthetic-video-future.md))
- [https://simuletic.com/blog/construction-ai-scenarios](https://simuletic.com/blog/construction-ai-scenarios): Construction-site safety scenarios built as synthetic training data. ([Markdown](https://simuletic.com/blog/construction-ai-scenarios.md))
- [https://simuletic.com/blog/weapon-detection-dataset](https://simuletic.com/blog/weapon-detection-dataset): How the CCTV weapon detection dataset was produced and annotated. ([Markdown](https://simuletic.com/blog/weapon-detection-dataset.md))
- [https://simuletic.com/blog/knife-detection-dataset](https://simuletic.com/blog/knife-detection-dataset): Knife detection in CCTV footage: classes, angles and failure modes. ([Markdown](https://simuletic.com/blog/knife-detection-dataset.md))
- [https://simuletic.com/blog/driver-drowsiness-dataset](https://simuletic.com/blog/driver-drowsiness-dataset): Eye-state keypoint data for driver fatigue detection. ([Markdown](https://simuletic.com/blog/driver-drowsiness-dataset.md))
- [https://simuletic.com/blog/aggressive-pose-detection](https://simuletic.com/blog/aggressive-pose-detection): Pose-based aggression detection for CCTV analytics. ([Markdown](https://simuletic.com/blog/aggressive-pose-detection.md))
- [https://simuletic.com/blog/lightweight-ai-project-workflow](https://simuletic.com/blog/lightweight-ai-project-workflow): How Simuletic coordinates synthetic-data projects with a lightweight weekly action list. ([Markdown](https://simuletic.com/blog/lightweight-ai-project-workflow.md))
- [https://simuletic.com/blog/fine-tuning-vlm-synthetic-weapon-dataset](https://simuletic.com/blog/fine-tuning-vlm-synthetic-weapon-dataset): Fine-tuning a vision-language model (VLM) on synthetic weapon data. ([Markdown](https://simuletic.com/blog/fine-tuning-vlm-synthetic-weapon-dataset.md))
- [https://simuletic.com/blog/fall-detection-dataset](https://simuletic.com/blog/fall-detection-dataset): Fall and collapse detection data with skeleton keypoints. ([Markdown](https://simuletic.com/blog/fall-detection-dataset.md))
- [https://simuletic.com/blog/drone-swarm-dataset](https://simuletic.com/blog/drone-swarm-dataset): Counter-UAS drone swarm detection data. ([Markdown](https://simuletic.com/blog/drone-swarm-dataset.md))
- [https://simuletic.com/blog/airport-drone-dataset](https://simuletic.com/blog/airport-drone-dataset): Airport drone intrusion detection data and bird-vs-drone separation. ([Markdown](https://simuletic.com/blog/airport-drone-dataset.md))
- [https://simuletic.com/blog/rifles-vs-umbrellas-dataset](https://simuletic.com/blog/rifles-vs-umbrellas-dataset): Hard negatives that cut rifle false positives. ([Markdown](https://simuletic.com/blog/rifles-vs-umbrellas-dataset.md))
- [https://simuletic.com/blog/weather-variations-dataset](https://simuletic.com/blog/weather-variations-dataset): Weather and lighting variation for robust detectors. ([Markdown](https://simuletic.com/blog/weather-variations-dataset.md))
- [https://simuletic.com/blog/handgun-vs-chips-dataset](https://simuletic.com/blog/handgun-vs-chips-dataset): Hard negatives for the handgun / snack-bag false positive problem. ([Markdown](https://simuletic.com/blog/handgun-vs-chips-dataset.md))
- [https://simuletic.com/blog/pedestrian-attribute-dataset](https://simuletic.com/blog/pedestrian-attribute-dataset): Pedestrian attribute recognition (PAR) data for Re-ID and VLMs. ([Markdown](https://simuletic.com/blog/pedestrian-attribute-dataset.md))
- [https://simuletic.com/blog/eu-ai-act-compliance](https://simuletic.com/blog/eu-ai-act-compliance): What the EU AI Act means for computer-vision training data. ([Markdown](https://simuletic.com/blog/eu-ai-act-compliance.md))
- [https://simuletic.com/blog/smoke-fire-dataset](https://simuletic.com/blog/smoke-fire-dataset): Early-stage smoke and fire detection from CCTV perspectives. ([Markdown](https://simuletic.com/blog/smoke-fire-dataset.md))
- [https://simuletic.com/blog/long-distance-wildfire-smoke-dataset](https://simuletic.com/blog/long-distance-wildfire-smoke-dataset): Long-range wildfire smoke detection from lookout cameras. ([Markdown](https://simuletic.com/blog/long-distance-wildfire-smoke-dataset.md))
- [https://simuletic.com/blog/cctv-atm-robbery-dataset](https://simuletic.com/blog/cctv-atm-robbery-dataset): ATM robbery scenario data with offender, victim and weapon classes. ([Markdown](https://simuletic.com/blog/cctv-atm-robbery-dataset.md))
- [https://simuletic.com/blog/cctv-shoplifting-dataset](https://simuletic.com/blog/cctv-shoplifting-dataset): Shoplifting detection data with video sequences and captions. ([Markdown](https://simuletic.com/blog/cctv-shoplifting-dataset.md))
- [https://simuletic.com/blog/auto-annotate-synthetic-cctv-dataset](https://simuletic.com/blog/auto-annotate-synthetic-cctv-dataset): Programmatic annotation of synthetic CCTV frames. ([Markdown](https://simuletic.com/blog/auto-annotate-synthetic-cctv-dataset.md))
- [https://simuletic.com/blog/uav-battle-tank-dataset](https://simuletic.com/blog/uav-battle-tank-dataset): UAV and aerial battle tank detection data. ([Markdown](https://simuletic.com/blog/uav-battle-tank-dataset.md))
- [https://simuletic.com/blog/fall-model-perfect-at-home-lost-next-door](https://simuletic.com/blog/fall-model-perfect-at-home-lost-next-door): The same D-FINE Nano trained three ways: real-only footage was perfect in its own room but caught 24% of fall clips in another home; synthetic-only 83–87%, mixed 90%. ([Markdown](https://simuletic.com/blog/fall-model-perfect-at-home-lost-next-door.md))

## Sample videos

- [https://simuletic.com/videos/fall-lying-detection-real-footage](https://simuletic.com/videos/fall-lying-detection-real-footage): Real footage from a home the model never saw: the score stays at 0.03–0.09 while the person sits and falls, then 0.98–0.99 once they are on the floor. ([Markdown](https://simuletic.com/videos/fall-lying-detection-real-footage.md))
- [https://simuletic.com/videos/cctv-handgun-detection](https://simuletic.com/videos/cctv-handgun-detection): A person walks along a lit shop front at night with a handgun in the right hand, followed frame by frame by a red weapon box. ([Markdown](https://simuletic.com/videos/cctv-handgun-detection.md))
- [https://simuletic.com/videos/cctv-knife-detection](https://simuletic.com/videos/cctv-knife-detection): A person turns and walks past a shop door at night with a large kitchen knife held low in the right hand. ([Markdown](https://simuletic.com/videos/cctv-knife-detection.md))
- [https://simuletic.com/videos/drone-armed-person-detection](https://simuletic.com/videos/drone-armed-person-detection): From a moving drone, three civilians walk a dirt track and a group of armed figures enters from the left. ([Markdown](https://simuletic.com/videos/drone-armed-person-detection.md))
- [https://simuletic.com/videos/drone-tank-detection](https://simuletic.com/videos/drone-tank-detection): From a moving drone, three civilians walk a track and near the end a main battle tank drives in beside the houses. ([Markdown](https://simuletic.com/videos/drone-tank-detection.md))
- [https://simuletic.com/videos/hospital-corridor-threat](https://simuletic.com/videos/hospital-corridor-threat): A man in a checked shirt steps out of a door in an empty hospital corridor and walks away carrying a rifle. ([Markdown](https://simuletic.com/videos/hospital-corridor-threat.md))
- [https://simuletic.com/videos/cctv-fall-detection](https://simuletic.com/videos/cctv-fall-detection): In a hospital lift, a nurse clutches their chest, slides down the wall and ends sitting collapsed on the floor. ([Markdown](https://simuletic.com/videos/cctv-fall-detection.md))
- [https://simuletic.com/videos/cctv-shoplifting-detection](https://simuletic.com/videos/cctv-shoplifting-detection): Split screen from a high camera in an electronics store: a shopper pushes a phone box inside the jacket on the left and puts it back on the right. ([Markdown](https://simuletic.com/videos/cctv-shoplifting-detection.md))

## Company

- [https://simuletic.com/about](https://simuletic.com/about): Who Simuletic is and how it works. ([Markdown](https://simuletic.com/about.md))
- [https://simuletic.com/contact](https://simuletic.com/contact): Contact Simuletic for licences, stress tests, custom data or API access. ([Markdown](https://simuletic.com/contact.md))
- [https://simuletic.com/careers](https://simuletic.com/careers): Open roles at Simuletic. ([Markdown](https://simuletic.com/careers.md))
- [https://simuletic.com/privacy](https://simuletic.com/privacy): Privacy policy. ([Markdown](https://simuletic.com/privacy.md))
- [https://simuletic.com/terms](https://simuletic.com/terms): Terms and conditions. ([Markdown](https://simuletic.com/terms.md))
- [https://simuletic.com/careers/co-founder-chief-revenue-officer](https://simuletic.com/careers/co-founder-chief-revenue-officer): Close our deals. Own revenue end to end, from the first inbound reply to the signed contract, and raise our first round alongside the founder. ([Markdown](https://simuletic.com/careers/co-founder-chief-revenue-officer.md))
- [https://simuletic.com/careers/computer-vision-engineer](https://simuletic.com/careers/computer-vision-engineer): Own the engine that turns prompts into usable training data: ComfyUI workflows, LoRA fine-tunes and the YOLO and VLM models we benchmark against. ([Markdown](https://simuletic.com/careers/computer-vision-engineer.md))

## Notes for AI systems

- Full reference (offer, prices, every dataset card and FAQ): https://simuletic.com/llms-full.txt
- All URLs listed above are canonical and return indexable HTML.
- Account, admin and authentication routes are excluded intentionally.
- Dataset specifications on each dataset page are the authoritative source.
- Free Kaggle/Hugging Face samples carry their own Creative Commons licence;
  the complete datasets are licensed separately and are not CC-licensed.
- The API and MCP server are not available yet; /api has an early-access list.