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thalostech2025/thalos-fall-protection-v1
thalos-fall-protection-v1 is a machine learning model from thalostech2025. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains the Fall Protection (Harness) Detection model used in the Thalos Safety Intelligence platform.
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Updated Dec 20, 2025
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From the Hugging Face model README
This repository contains the Fall Protection (Harness) Detection model used in the Thalos Safety Intelligence platform.
It identifies fall-related PPE and risk conditions including:
This model was originally trained in Roboflow (Object Detection Large / YOLOv8-derived)
and exported as a PyTorch .pt file.
It is now hosted on HuggingFace for independent, cost-controlled inference inside the Thalos YOLO service.
from ultralytics import YOLO
model = YOLO("thalostech2025/thalos-fall-protection-v1/fall_protection_harness_weights.pt")
results = model("example.jpg")
results.show()
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🔗 Load From URL (Used by the Thalos YOLO Service)
import torch
import requests
from io import BytesIO
HF_URL = "https://huggingface.co/thalostech2025/thalos-fall-protection-v1/resolve/main/fall_protection_harness_weights.pt"
response = requests.get(HF_URL)
model = torch.load(BytesIO(response.content), map_location="cpu")
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🏷️ Labels / Classes
Based on the v1.0 dataset, the following classes are included:
harness_worn
harness_missing
lanyard_attached
lanyard_not_attached
person_at_height
edge_zone
(Label names may vary slightly depending on your final dataset schema.)
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📄 License
This model is distributed under the AGPL-3.0 license, consistent with Roboflow export requirements.
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🔒 Important Notes
• This repository contains only the model weights, not the training data.
• Thalos uses this model through the internal YOLO inference microservice.
• Future versions (v2.0+) may incorporate pose estimation or depth to refine fall-risk understanding.
• Migrating this model to HF removes reliance on Roboflow cloud inference and its credit system.
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👤 Maintainer
Thalos Tech (2025)
Safety Intelligence & Hazard Detection Platform