Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+CCTV Aggressive Poses & Fight Detection Dataset
+
+This dataset contains synthetic images of aggressive behaviors and fighting poses from CCTV angles.
+It is pre-labeled with YOLOv8 Pose Estimation format (Bounding Box + 17 Keypoints).
+
+The dataset consists of high-quality, synthetic images designed to help train models to detect violence, anomalies, aggression and pre-fight cues in public spaces.
+
+Need more data? This is a curated sample (~100 frames) created by Simuletic. For our full enterprise dataset with diverse environments, multi-person combat scenarios, and evaluation videos, contact Simuletic at https://simuletic.com.
+
+Key Features
+
+Task: Aggressive Pose Estimation & Fight Detection.
+
+Annotations: YOLOv8 Pose Format. Includes Bounding Boxes + 17-point Skeleton Keypoints (COCO format) for precise body language analysis.
+
+Perspective: High-angle CCTV views (often the hardest angle for standard models).
+
+Privacy-First: Fully synthetic data, eliminating GDPR/privacy concerns associated with real surveillance footage.
+
+Dataset Structure
+
+images/: Folder containing high-quality .jpg frames (e.g., aggressive_pose_1.jpg).
+
+labels/: Folder with YOLO Pose .txt files.
+
+Format: class_id x_c y_c w h kx1 ky1 v1 kx2 ky2 v2 … (Standard YOLO Pose).
+
+data.yaml: Configuration file ready for training.
+
+Quick Start (data.yaml)
+
+We have included a data.yaml file in the root. You can start training immediately with Ultralytics YOLOv8:
+
+YAML
+path: . # Update to your local path
+train: images
+val: images # Using same set for sample purposes
+
+Keypoints shape (17 points, x/y/visibility)
+
+
+Ethics and Limitations
+
+Synthetic Nature: This is fully synthetic data—no real individuals or events are depicted.
+
+Intended Use: For ethical use in public safety research, security automation, and anomaly detection. Do not use for harmful surveillance or profiling.
+
+Bias & Validation: While synthetic data reduces privacy bias, real-world validation is recommended for production systems.
+
+License
+
+This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0). You are free to share and adapt it, provided you give appropriate credit to Simuletic.
+
+Citation
+
+If you use this dataset in your research or project, please cite:
+
+@dataset{simuletic_fight_detection_2025,
+author = {Simuletic Team},
+title = {Simuletic Synthetic Aggressive Pose & Fight Detection Dataset},
+year = {2025},
+publisher = {Simuletic},
+url = {https://simuletic.com}
+}
+
+Links
+
+Website & Custom Data: https://simuletic.com
+Feedback or questions: Reach out via our website or open an issue here.