Weapons & threatsCCTV Weapon Detection
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.
- Size
- 1,000 images
- Format
- YOLO + COCO
Weapons
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.
The camera is fixed high on the corner of a shop and looks down a lit pavement at night. Parked cars line the kerb and a street runs beyond them. This is a typical overhead CCTV view: a long, narrow field of view, a person who is small in the frame, and artificial light from the storefront.
A person in a dark jacket, a cap and grey trousers stands for a moment and then walks along the storefront, away from the camera. In this version of the clip a handgun is in the person's right hand for the whole six seconds. The weapon is small compared with the person, and the person is seen from behind as they walk away.
A red detector box labelled weapon follows the handgun from frame to frame. Each box carries a confidence score, and in this clip the scores sit between 0.3 and 0.4. They are low, which shows what a detector reports when it is only partly sure. The overlay is the output of a trained detector, drawn onto the video for illustration. It is not the label format that ships with the dataset.
The original footage, with no weapon, is shown lower on this page so you can compare the two. The handgun was generated into the empty scene, and the camera view, the lighting and the person's movement are the same in both clips.
The generated clip above uses this same camera and scene.
Dataset
Weapons & threatsTrain AI weapon detection on 1,000 synthetic CCTV images: handguns, rifles, shotguns and look-alike negatives, labelled in YOLO and COCO. Free sample included.
More clips

A person turns and walks past a shop door at night with a large kitchen knife held low in the right hand.

From a moving drone, three civilians walk a dirt track and a group of armed figures enters from the left.

From a moving drone, three civilians walk a track and near the end a main battle tank drives in beside the houses.
Send 5–20 photos of your empty scenes and we render the event into them, as images or video clips with boxes, tracking IDs and event times.