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Simuletic
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CCTV_Aggressive_Poses_Fight_Detection_Dataset

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Keypoint Detection
Object Detection
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surveillance
security
computer-vision
fight-detection
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CCTV_Aggressive_Poses_Fight_Detection_Dataset / README.md
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metadata 
license: cc-by-4.0
language:
  - en
pretty_name: CCTV Aggressive Pose & Fight Detection Dataset (free sample)
task_categories:
  - keypoint-detection
  - object-detection
tags:
  - synthetic
  - cctv
  - surveillance
  - security
  - computer-vision
  - fight-detection
  - violence-detection
  - pose-estimation
  - keypoints
  - yolo
size_categories:
  - n<1K

CCTV Aggressive Pose & Fight Detection Dataset (free sample)

A free sample of 103 synthetic CCTV images of people fighting or about to fight, with YOLO pose labels (bounding box plus 17 body keypoints) for every person, for training and testing fight detection, violence detection and aggressive pose estimation models on security-camera footage. Made by Simuletic, which builds synthetic CCTV datasets for computer vision.

Full dataset and licence: simuletic.com/datasets/cctv-aggressive-pose-detection-dataset

Free sample (this page) Full dataset
Images 103 JPEG, 784 × 1,168 to 1,206 × 1,560 px 1,000, plus evaluation videos
Classes person (one class) normal_pose, aggressive_pose
Labels YOLO pose: box + 17 COCO keypoints COCO keypoints (17 points)
Camera view elevated CCTV angles, day and night, indoor and outdoor bars, public squares, parking areas and transit hubs
Licence CC BY 4.0 one-time licence: research $149 / commercial $590

What's in the images

People squaring up, shoving, punching or about to fight, seen from elevated CCTV cameras outside pubs, in car parks, shopping arcades, underpasses and streets, by day and at night. 102 images show two people and one shows three: 207 people in total. Every person has a bounding box and a 17-point body skeleton, so models can learn body language and pre-fight cues, not just where people are. In this sample every person has the same class, person.

Classes and boxes

Class YOLO id Boxes in sample
person 0 207

Folder layout 

Aggressive_Poses_Dataset/
  data.yaml                # class name and keypoint shape
  images/                  # 103 JPEG images (aggressive_pose_1.jpg, ...)
  labels/                  # one YOLO pose .txt per image

Each label line is one person: class_id x_center y_center width height, then 17 keypoints as x y v (56 values in total). Coordinates are normalised to 0–1. The keypoints follow the COCO order (nose, eyes, ears, shoulders, elbows, wrists, hips, knees, ankles); v is 2 for a labelled keypoint and 0 for one that is not labelled. Shortened example:

0.000000 0.310 0.675 0.379 0.644  0.391 0.427 2.000000  ...  0.180 0.938 2.000000

Values are written as decimals (0.000000 for class 0, 2.000000 for visible); Ultralytics reads them as normal.

Quick start (Ultralytics YOLO)

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

path: Aggressive_Poses_Dataset
train: images
val: images   # small sample: use the same images, or split them yourself
kpt_shape: [17, 3]
flip_idx: [0, 2, 1, 4, 3, 6, 5, 8, 7, 10, 9, 12, 11, 14, 13, 16, 15]
names:
  0: person

Then train:

from ultralytics import YOLO

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

Use cases

  • Fight and violence detection on CCTV and video management systems (VMS)
  • Early warning of confrontations in nightlife venues, public transport and schools
  • Pose-based action recognition and body-language research
  • 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. This sample labels everyone as person; the full dataset separates normal_pose from aggressive_pose.

Full dataset and custom data

The full CCTV Aggressive Pose & Fight Detection Dataset has 1,000 images, COCO keypoints, classes normal_pose, aggressive_pose. 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 and GitHub.

More synthetic datasets from Simuletic

Licence

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

Citation 

@misc{simuletic_fight_2025,
  author       = {{Simuletic}},
  title        = {CCTV Aggressive Pose & Fight Detection Dataset},
  year         = {2025},
  publisher    = {Simuletic},
  howpublished = {\url{https://huggingface.co/datasets/Simuletic/CCTV_Aggressive_Poses_Fight_Detection_Dataset}},
  note         = {Free sample. Full dataset: \url{https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset}}
}

Questions or feedback: contact@simuletic.com