Human-Body-Segmentation-Fall

Dataset Overview

Recommended Datasets

1. Le2i - Laboratoire Electronique, Informatique et Image

   • Content: Video data covering four scenes (Home, Coffee room, Office, Lecture room), with annotation files for the Home and Coffee room scenes.
   • Format: 320x240, 25 FPS.
   • Features: High quality, single‑person, large‑scale dataset.

2. SisFall: A Fall and Movement Dataset

   • Content: Video data containing ADL and Fall categories.
   • Format: 1440x1080.
   • Features: High quality, single‑person, large and diverse dataset.

Other Datasets

• Fall Detection Dataset (FDD)
• Multicam Fall Dataset
• UR Fall Detection Dataset (URFD)
• HIGH QUALITY FALL SIMULATION DATA
• TST FALL DETECTION DATASET V2

Human‑Body‑Segmentation‑Fall Dataset

• Content: Processed from portions of the Le2i and SisFall videos using OpenCV, then a human segmentation neural network to obtain images containing only the human foreground.
• Categories: Blank, Fall, Likefall, Lie, Stand.
• Volume: 253 images for Le2i‑processed and 61 images for SisFall‑processed.
• Download: Google and BaiduDisk links provided; sizes are 29.0 MB and 30.2 MB respectively.

Dataset Table