Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8n-hard-hat-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8n-hard-hat-detection 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("keremberke/yolov8n-hard-hat-detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download events.out.tfevents.1675029828.ovyeman.40844.30 from keremberke/yolov8n-hard-hat-detection: direct link, hf CLI and curl.
- Browser
- Download file 548 kB
-
https://huggingface.co/keremberke/yolov8n-hard-hat-detection/resolve/287bafa2feb311ee45d21f9e9b33315ff6ff955d/events.out.tfevents.1675029828.ovyeman.40844.30
- Command line
-
hf download hf://keremberke/yolov8n-hard-hat-detection@287bafa2feb311ee45d21f9e9b33315ff6ff955d/events.out.tfevents.1675029828.ovyeman.40844.30
-
curl -L -o events.out.tfevents.1675029828.ovyeman.40844.30 https://huggingface.co/keremberke/yolov8n-hard-hat-detection/resolve/287bafa2feb311ee45d21f9e9b33315ff6ff955d/events.out.tfevents.1675029828.ovyeman.40844.30
548 kB
- Xet hash:
- 1f3c5c8e3662b7bb541644afc465b6f5ddebcdf92418c708536ef7bd7423cdcd
- Size of remote file:
- 548 kB
- SHA256:
- 83bfdca5c5de52144c39a92cccee8a19200053f7c20e0b977d140cbea6245015
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