Object Detection
ultralytics
ONNX
English
construction
construction-safety
construction-site-safety
site-safety
safety
safety-monitoring
hazard-detection
ppe
ppe-detection
personal-protective-equipment
hard-hat
hard-hat-detection
safety-helmet
helmet-detection
high-visibility
safety-vest
hi-vis
missing-ppe
worker-detection
person-detection
excavator
heavy-equipment
heavy-machinery
wheel-loader
dump-truck
job-site
computer-vision
yolov8
yolo
onnxruntime
browser
edge-ai
Eval Results (legacy)
Instructions to use constructelligence/construction-site-safety-hazards with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use constructelligence/construction-site-safety-hazards with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("constructelligence/construction-site-safety-hazards", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download example.jpg from constructelligence/construction-site-safety-hazards: direct link, hf CLI and curl.
- Browser
- Download file 433 kB
-
https://huggingface.co/constructelligence/construction-site-safety-hazards/resolve/main/example.jpg
- Command line
-
hf download hf://constructelligence/construction-site-safety-hazards/example.jpg
-
curl -L -o example.jpg https://huggingface.co/constructelligence/construction-site-safety-hazards/resolve/main/example.jpg
433 kB

- Xet hash:
- 48c6313560e801e2ba057309eda4b9b4fd9145bff240041b3b2a872ce447c961
- Size of remote file:
- 433 kB
- SHA256:
- 0d80be78cb9c050ad88140786173305db88e5c2d1b17bcf3024e445de9f98b96
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