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rAhuL45647/brain-mri-resnet50
brain-mri-resnet50 is a machine learning model from rAhuL45647. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
ResNet-50 fine-tuned for 4-class brain tumour classification.
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Updated May 16, 2026
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From the Hugging Face model README
ResNet-50 fine-tuned for 4-class brain tumour classification.
Classes (alphabetical / ImageFolder order): glioma, meningioma, notumor, pituitary
Dataset: masoudnickparvar/brain-tumor-mri-dataset
Architecture: ResNet-50 (IMAGENET1K_V2) + Dropout(0.4) + Linear(2048→4)
Best test accuracy: 0.951
Disclaimer: For educational/research use only. Not a clinical diagnostic tool.