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Sponsored by
YouArt
mrm8488 / vit-base-patch16-224_finetuned-kvasirv2-colonoscopy
Model's Last Updated: April 27 2023
image-classification
Introduction of vit-base-patch16-224_finetuned-kvasirv2-colonoscopy
Model Details of vit-base-patch16-224_finetuned-kvasirv2-colonoscopy
Vision Transformer fine-tuned on kvasir_v2 for colonoscopy classification
Demo
Drag the following images to the widget to test the model
Training
You can find the code here
Metrics
precision recall f1-score support
dyed-lifted-polyps 0.95 0.93 0.94 60
dyed-resection-margins 0.97 0.95 0.96 64
esophagitis 0.93 0.79 0.85 67
normal-cecum 1.00 0.98 0.99 54
normal-pylorus 0.95 1.00 0.97 57
normal-z-line 0.82 0.93 0.87 67
polyps 0.92 0.92 0.92 52
ulcerative-colitis 0.93 0.95 0.94 59
accuracy 0.93 480
macro avg 0.93 0.93 0.93 480
weighted avg 0.93 0.93 0.93 480
How to use
from transformers import ViTFeatureExtractor, ViTForImageClassification
from hugsvision.inference.VisionClassifierInference import VisionClassifierInference
path = "mrm8488/vit-base-patch16-224_finetuned-kvasirv2-colonoscopy"
classifier = VisionClassifierInference(
feature_extractor = ViTFeatureExtractor.from_pretrained(path),
model = ViTForImageClassification.from_pretrained(path),
)
img = "Your image path"
label = classifier.predict(img_path=img)
print("Predicted class:", label)
Disclaimer: This model was trained for research only
Created by Manuel Romero/@mrm8488 | LinkedIn
Made with ♥ in Spain
Runs of mrm8488 vit-base-patch16-224_finetuned-kvasirv2-colonoscopy on huggingface.co
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More Information About vit-base-patch16-224_finetuned-kvasirv2-colonoscopy huggingface.co Model
Url of vit-base-patch16-224_finetuned-kvasirv2-colonoscopy
vit-base-patch16-224_finetuned-kvasirv2-colonoscopy huggingface.co Url
Provider of vit-base-patch16-224_finetuned-kvasirv2-colonoscopy huggingface.co
Other API from mrm8488
Updated:January 21 2024
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