Simuletic/CCTV_Weapon_Detection_Rifles_vs_Umbrellas

CCTV Weapon Detection: Rifles vs Umbrellas (free sample)

A free sample of 120 synthetic CCTV images of people carrying rifles or closed umbrellas, with YOLO bounding boxes for person, rifle and umbrella, for training and testing weapon detection models that do not mistake umbrellas for guns. Made by Simuletic, which builds synthetic CCTV datasets for computer vision.

Full dataset and licence: simuletic.com/datasets/cctv-weapon-detection-rifles-vs-umbrellas

	Free sample (this page)	Full dataset
Images	120 JPEG, 784 × 1,168 px	1,000, plus 8 evaluation videos
Classes	person, rifle, umbrella	person, rifle, umbrella
Labels	YOLO .txt	YOLO
Camera view	high-angle and wide-angle CCTV; streets, stairwells, public spaces	daylight, dusk and night; varied weather, sensor noise and motion blur
Licence	CC BY-NC 4.0	one-time licence: research $149 / commercial $590

What's in the images

People carrying either a rifle or a closed umbrella, seen from high-angle and wide-angle CCTV cameras in streets, stairwells and other public spaces. Seen from a CCTV camera, a rifle and a closed umbrella have a similar long, thin shape, which makes umbrellas a common cause of false alarms in weapon detection. Training on both (hard negative mining) teaches a model the differences in shape, grip and posture. 64 images contain a rifle and 58 an umbrella, a near 50/50 split. Rifles are assault rifles and carbines held in different ways; umbrellas are closed black umbrellas held by the stem or handle. The images include sensor noise, motion blur and varied lighting.

Classes and boxes

Class	YOLO id	Boxes in sample
person	0	138
rifle	1	64
umbrella	2	59

Folder layout

Simuletic_Weapon_Umbrella_Dataset/
  data.yaml                     # class config (see note below)
  Example_image_weapon.JPG      # preview images (not labelled)
  Example_image_umbrella.JPG
  images/                       # 120 JPEG images (person_rifle_vs_umbrella_001.JPG, ...)
  labels/                       # one YOLO .txt per image

Each label line is class_id x_center y_center width height, normalised to 0–1:

0 0.531 0.668 0.482 0.588
2 0.747 0.776 0.084 0.267

Quick start (Ultralytics YOLO)

Create a data.yaml next to the Simuletic_Weapon_Umbrella_Dataset/ folder:

path: Simuletic_Weapon_Umbrella_Dataset
train: images
val: images   # small sample: use the same images, or split them yourself
names:
  0: person
  1: rifle
  2: umbrella

The included data.yaml names class 1 weapon and says nc: 1, which Ultralytics rejects because three names are listed; use the file above instead.

Then train:

from ultralytics import YOLO

model = YOLO("yolo11n.pt")
model.train(data="data.yaml", epochs=30, imgsz=640)

Use cases

• Reducing false alarms from umbrellas in weapon detection
• Rifle detection for schools, airports, perimeters and public spaces
• Testing whether an existing detector confuses umbrellas with rifles
• Pre-training before fine-tuning on your own camera footage

How the images were made

The images are fully synthetic (computer-generated) by Simuletic: no real people, places or incidents are depicted, so there are no privacy or consent issues.

Limitations. Synthetic images do not cover every camera, lens, compression artefact or scene you will meet in deployment. Validate on your own footage, and for production combine synthetic and real data.

Full dataset and custom data

The full CCTV Weapon Detection: Rifles vs Umbrellas has 1,000 images, YOLO, classes person, rifle, umbrella. Licence: research $149 / commercial $590. Larger sets, other scenes, camera angles or classes: see custom data or write to contact@simuletic.com.

This free sample is also on Kaggle.

More synthetic datasets from Simuletic

• CCTV Weapon Detection Dataset
• Weapon Detection: Handgun vs Bag of Chips
• CCTV Knife Detection Dataset
• CCTV ATM Robbery Detection Dataset: Gun & Knife
• All datasets: simuletic.com/datasets · Hugging Face · Kaggle · GitHub

Licence

This free sample is licensed under CC BY-NC 4.0: you may share and adapt it for non-commercial purposes, as long as you credit Simuletic. The full dataset is sold under a separate one-time research or commercial licence.

Citation

@misc{simuletic_rifles_umbrellas_2026,
  author       = {{Simuletic}},
  title        = {CCTV Weapon Detection: Rifles vs Umbrellas},
  year         = {2026},
  publisher    = {Simuletic},
  howpublished = {\url{https://huggingface.co/datasets/Simuletic/CCTV_Weapon_Detection_Rifles_vs_Umbrellas}},
  note         = {Free sample. Full dataset: \url{https://simuletic.com/datasets/cctv-weapon-detection-rifles-vs-umbrellas}}
}

Questions or feedback: contact@simuletic.com