Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
APIMart
keremberke / yolov8m-shoe-classification
Model's Last Updated: February 22 2023
image-classification
Introduction of yolov8m-shoe-classification
Model Details of yolov8m-shoe-classification
Supported Labels
['adidas', 'converse', 'nike']
How to use
- Install ultralyticsplus :
pip install ultralyticsplus==0.0.24 ultralytics==8.0.23
- Load model and perform prediction:
from ultralyticsplus import YOLO, postprocess_classify_output
# load model
model = YOLO('keremberke/yolov8m-shoe-classification')
# set model parameters
model.overrides['conf'] = 0.25 # model confidence threshold
# set image
image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
# perform inference
results = model.predict(image)
# observe results
print(results[0].probs) # [0.1, 0.2, 0.3, 0.4]
processed_result = postprocess_classify_output(model, result=results[0])
print(processed_result) # {"cat": 0.4, "dog": 0.6}
More models available at: awesome-yolov8-models
Runs of keremberke yolov8m-shoe-classification on huggingface.co
1.0K
Total runs
28
24-hour runs
39
3-day runs
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7-day runs
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30-day runs
More Information About yolov8m-shoe-classification huggingface.co Model
Url of yolov8m-shoe-classification
yolov8m-shoe-classification huggingface.co Url
Provider of yolov8m-shoe-classification huggingface.co
Other API from keremberke
Updated:May 23 2024
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