thalostech2025/thalos-forklift-safety-v1

Thalos Forklift Safety Detection – v1.0 (Roboflow → HuggingFace export)

This repository contains the Forklift Safety Detection model used in the Thalos Safety Intelligence platform.

It identifies forklift-related hazards including:

• forklifts in operation
• forklift proximity to pedestrians
• forklift–vehicle near-miss conditions
• improper forklift operation zones
• forklifts in loading areas or high-risk corridors
• unsafe MHE (material handling equipment) situations

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.

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🚀 Usage (Python)

from ultralytics import YOLO

model = YOLO("thalostech2025/thalos-forklift-safety-v1/forklift_safety_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-forklift-safety-v1/resolve/main/forklift_safety_weights.pt"

response = requests.get(HF_URL)
model = torch.load(BytesIO(response.content), map_location="cpu")


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🏷️ Labels / Classes

The following classes are included based on the v1.0 dataset:

forklift
forklift_near_person
forklift_operation_zone
mhe_vehicle
mhe_near_pedestrian
pedestrian

(Class names may vary slightly depending on dataset configuration.)

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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 training data.
    •	Thalos uses this model through its internal YOLO inference service.
    •	Future versions (v2.0+) may expand to include forklift–vehicle detection and distance-based safety scoring.
    •	Migrating to HuggingFace helps eliminate Roboflow inference-credit costs.

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👤 Maintainer

Thalos Tech (2025)
Safety Intelligence & Hazard Detection Platform