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brainscan-tfjs
grvsnh/brainscan-tfjs
brainscan-tfjs is a image classification model from grvsnh. Use it when you need a label for an image. It is set up for keras. The card lists the license as mit.
This repository contains the weights and topology of the BrainScan classification model converted to TensorFlow.js layers format for in-browser client-side execution.
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Public
Updated Jul 13, 2026
Repo size
70.6 MB
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At a glance
- Task
- Image Classification
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026
- SHA
- c22eeb31
Model card
From the Hugging Face model README
BrainScan // DenseNet Brain Tumor Classification Model (TF.js format)
This repository contains the weights and topology of the BrainScan classification model converted to TensorFlow.js layers format for in-browser client-side execution.
Model Files
model.json: Patched TensorFlow.js Functional Model topology (Keras 3 compatible).group1-shard*of7.bin: Binary weights shards.model/brain_tumor_model.h5: The raw, pre-converted Keras H5 model.model/BrainScan_Model_Training.ipynb: Jupyter notebook containing the DenseNet model definition and training history.
Classes
The model classifies T1/T2 brain MRI scans into four distinct categories:
gliomameningiomanotumor(Normal)pituitary
Usage in TensorFlow.js
const model = await tf.loadLayersModel('https://huggingface.co/grvsnh/brainscan-tfjs/resolve/main/model.json');
const prediction = model.predict(imageTensor);
- Task
- Image Classification
- Library
- keras
- License
- mit
- Created
- Jul 13, 2026
- Updated
- Jul 13, 2026