Downloads · 30 days
0
thalostech2025/thalos-construction-barriers-v1
thalos-construction-barriers-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 Construction Safety Barriers Detection model used in the Thalos Safety Intelligence platform.
Downloads · 30 days
0
Access
Public
Updated Dec 3, 2025
Repo size
87.7 MB
Likes
0
Public
Click a slice to open those files.
.pt87.7 MB · 100%
From the Hugging Face model README
This repository contains the Construction Safety Barriers Detection model used in the Thalos Safety Intelligence platform.
It identifies barrier-related safety controls and potential issues around:
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-construction-barriers-v1/construction_barriers_weights.pt")
results = model("example.jpg")
results.show()
⸻
🔗 Load From URL (Used by the Thalos YOLO Service)
import torch
import requests
from io import BytesIO
HF_URL = "https://huggingface.co/thalostech2025/thalos-construction-barriers-v1/resolve/main/construction_barriers_weights.pt"
response = requests.get(HF_URL)
model = torch.load(BytesIO(response.content), map_location="cpu")
⸻
🏷️ Labels / Classes
Based on the v1.0 dataset, the following classes are included:
barrier
guardrail
cone
barricade
restricted_zone
gap_in_barrier
(Label names may vary slightly depending on the final Roboflow dataset schema.)
⸻
📄 License
This model is distributed under the AGPL-3.0 license, consistent with Roboflow export requirements.
⸻
🔒 Important Notes
• This repository contains only the model weights, not training data.
• Thalos uses this model via server-side inference in the YOLO microservice.
• Future versions (v2.0+) may integrate hazard-specific rules (e.g., barrier types vs. edge conditions).
• Hosting on HuggingFace removes dependency on Roboflow’s inference and credit system.
⸻
👤 Maintainer
Thalos Tech (2025)
Safety Intelligence & Hazard Detection Platform