fall-detection
CCTV_Incident_Dataset_Fall_Lying_Down_Detection
Overview
This is an open-source synthetic dataset for Computer Vision (CV) tasks, specifically designed for Fall Detection, Pose Estimation, and Incident Monitoring from overhead CCTV perspectives.
Unlike standard object detection datasets, this dataset includes Keypoints (Pose) annotations. This enables models to understand human posture and accurately distinguish between standing and fallen individuals.
🚀 Need more data?
This is a sample dataset by Simuletic. We provide… See the full description on the dataset page: https://huggingface.co/datasets/Simuletic/CCTV_Incident_Dataset_Fall_Lying_Down_Detection.fall-detection-posture-classification
AI-Driven Posture Analysis & Fall Detection Dataset (Elderly Care)
Overview
This dataset supports the dissertation project "AI-Driven Posture Analysis Fall Detection System for the Elderly", completed by Patrick O. Ogbuitepu for the degree of MSc Artificial Intelligence and its Applications (CE901 MSc Project and Dissertation), School of Computer Science and Electronic Engineering (CSEE), University of Essex (2024). Supervisor: Dr Adrian Clark.
The project uses… See the full description on the dataset page: https://huggingface.co/datasets/pat2echo/fall-detection-posture-classification.fall-detection
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this is a fall-detection datasets,you can download to use it to do anything!
fall-detection-datapose-guided-fall-detection-icta2026
Pose-Guided Temporal Modeling for Robust Vision-Based Fall Detection
This repository contains a reproducible vision-based fall detection pipeline for an ICTA-style technical paper. It focuses on pose/keypoint dynamics, lightweight temporal modeling, ablation, and robustness tests on a 24 GB RTX 3090.
What is included
Dataset manifest builder for URFD, Multiple Cameras Fall Dataset, and generic video folders.
Pose extraction with YOLO pose models from sampled… See the full description on the dataset page: https://huggingface.co/datasets/MahedixHasan/pose-guided-fall-detection-icta2026.pose-guided-fall-detection-icta2026
Pose-Guided Temporal Modeling for Robust Vision-Based Fall Detection
This repository contains a reproducible vision-based fall detection pipeline for an ICTA-style technical paper. It focuses on pose/keypoint dynamics, lightweight temporal modeling, ablation, and robustness tests on a 24 GB RTX 3090.
What is included
Dataset manifest builder for URFD, Multiple Cameras Fall Dataset, and generic video folders.
Pose extraction with YOLO pose models from sampled… See the full description on the dataset page: https://huggingface.co/datasets/minhy112/pose-guided-fall-detection-icta2026.
