Instructions to use sayon-mitra024/blood-agglutination-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sayon-mitra024/blood-agglutination-classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://sayon-mitra024/blood-agglutination-classifier") - Notebooks
- Google Colab
- Kaggle
Blood Agglutination Classifier
Confidence-aware calibration framework for medical image classification.
Model Description
This model classifies blood agglutination images as "clumped" or "not clumped" using MobileNetV2 embeddings with AutoGluon Tabular and isotonic calibration.
Usage
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="sayon-mitra024/blood-agglutination-classifier",
filename="mobilenet_v2_calibrated/predictor.pkl"
)
Performance
| Metric | Value | 95%% CI |
|---|---|---|
| Macro-F1 | 0.741 | [0.691, 0.789] |
| Balanced Accuracy | 0.766 | [0.718, 0.812] |
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