--- 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](https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=fight) | | Free sample (this page) | [Full dataset](https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=fight) | |---|---|---| | 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 ```text 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: ```text 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: ```yaml 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: ```python 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](https://simuletic.com/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=fight): 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](https://simuletic.com/datasets/cctv-aggressive-pose-detection-dataset?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=fight)** 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](https://simuletic.com/custom-data?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=fight) or write to contact@simuletic.com. This free sample is also on [Kaggle](https://www.kaggle.com/datasets/simuletic/cctv-aggressive-poses-and-fight-detection-dataset) and [GitHub](https://github.com/Simuletic/cctv-aggressive-poses-fight-detection-dataset). ## More synthetic datasets from Simuletic - [CCTV Fall & Incident Detection Dataset](https://huggingface.co/datasets/Simuletic/CCTV_Incident_Dataset_Fall_Lying_Down_Detection) - [CCTV Knife Detection Dataset](https://huggingface.co/datasets/Simuletic/cctv-knife-detection-dataset) - [CCTV Weapon Detection Dataset](https://huggingface.co/datasets/Simuletic/cctv-weapon-dataset) - [CCTV Pedestrian-1K: Person Attribute Dataset](https://huggingface.co/datasets/Simuletic/CCTV-Pedestrian-1K-Person-Attribute-Dataset) - All datasets: [simuletic.com/datasets](https://simuletic.com/datasets?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=fight) · [Hugging Face](https://huggingface.co/Simuletic) · [Kaggle](https://www.kaggle.com/simuletic) · [GitHub](https://github.com/Simuletic) ## Licence This free sample is licensed under [CC BY 4.0](https://creativecommons.org/licenses/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 ```bibtex @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