Universe

Fall Down Computer Vision Model

byheartbrokerTask:
Object Detection
License:CC BY 4.0435 views18 downloads

How to use the Fall Down Detection API

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Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="heartbroker/fall-down-boaou-instant-5")
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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "0, 1"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

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Detecting classes:
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See all 5.3k imagesFall Down objects sample showing 0Fall Down objects sample showing 0, 1Fall Down objects sample showing 1Fall Down objects sampleFall Down objects sample showing 1Fall Down objects sample showing 1Fall Down objects sampleFall Down objects sample showing 1Fall Down objects sample showing 1Fall Down objects sampleFall Down objects sample showing 1Fall Down objects sample

About Fall Down Model

This project focuses on human fall detection using computer vision techniques. The dataset is based on multi-camera recordings and includes various fall scenarios as well as normal daily activities.

The data has been processed and annotated for object detection tasks, making it suitable for training models such as YOLO. It can be used for research in elderly care, surveillance systems, smart healthcare, and activity recognition.

Key features:

  • Multi-camera viewpoints
  • Diverse fall scenarios and daily actions
  • Annotated in YOLO format
  • Suitable for real-time detection systems

This dataset is intended for academic research and development of intelligent monitoring systems.

Citation: If you use this dataset in your research, please consider citing: Webots Fall Detection Dataset (Bird's Eye View) Collected via Webots R2025a simulation platform Part of: Machine Vision-Based Fall Detection and Rescue Virtual System Undergraduate Thesis, 2026

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ fall-down-boaou_dataset,
  title = { Fall Down Dataset },
  type = { Open Source Dataset },
  author = { heartbroker },
  howpublished = { \url{ https://universe.roboflow.com/heartbroker/fall-down-boaou } },
  url = { https://universe.roboflow.com/heartbroker/fall-down-boaou },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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