Image Classification
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8m-chest-xray-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8m-chest-xray-classification with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8m-chest-xray-classification") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 1e963bf
add ultralytics model card
Browse files
README.md
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- pytorch
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- awesome-yolov8-models
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library_name: ultralytics
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library_version: 8.0.
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inference: false
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datasets:
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- Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus):
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```bash
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pip install ultralyticsplus==0.0.
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```
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- Load model and perform prediction:
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- pytorch
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- awesome-yolov8-models
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library_name: ultralytics
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library_version: 8.0.23
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inference: false
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datasets:
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- Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus):
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```bash
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pip install ultralyticsplus==0.0.24 ultralytics==8.0.23
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```
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- Load model and perform prediction:
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