yolo-v8-fog-or-smog-classification

<div align="center"> <img width="640" alt="uisikdag/fogsmog_v8" src="https://huggingface.co/uisikdag/fogsmog_v8/resolve/main/thumbnail.jpg"> </div>

Supported Labels

['fog', 'smog']

How to use

• Install ultralyticsplus:

pip install ultralyticsplus==0.0.23 ultralytics==8.0.21

• Load model and perform prediction:

from ultralyticsplus import YOLO, postprocess_classify_output

# load model
model = YOLO('uisikdag/fogsmog_v8')

# 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}