# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("SummerChiam/pond_image_classification_2")
model = AutoModelForImageClassification.from_pretrained("SummerChiam/pond_image_classification_2")Quick Links
pond_image_classification_2
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
Example Images
Algae
Boiling
BoilingNight
Normal
NormalCement
NormalNight
NormalRain
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Evaluation results
- Accuracyself-reported0.997
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SummerChiam/pond_image_classification_2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")