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black-tea-powder-classifier
InuriDinethma/black-tea-powder-classifier
black-tea-powder-classifier is a machine learning model from InuriDinethma. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras.
This repository contains a Gradio app and the trained EfficientNetV2S Keras model for black tea powder classification. It also supports open-set rejection through the NOTTEA class.
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At a glance
- Library
- keras
- Access
- Public
- Created
- Aug 31, 2026
- Updated
- Aug 31, 2026
- SHA
- d233ef9f
Model card
From the Hugging Face model README
Black Tea Powder Classifier
This repository contains a Gradio app and the trained EfficientNetV2S Keras model for black tea powder classification. It also supports open-set rejection through the NOT_TEA class.
The app loads these files from the Space:
black_tea_efficientnetv2s_crop068_best.keras
class_names.json
preprocessing_config.json
The model was trained with an image size of 384, a central crop fraction of 0.68, and ten-crop test-time augmentation. The model predicts these nine classes:
BM, BOP, BP, BROKEN_TEA, DUST, FANNING_2, PF, PW_DUST, NOT_TEA
Run Locally
Install the dependencies:
pip install -r requirements.txt
Start the Gradio app:
python app.py
- Library
- keras
- Created
- Aug 31, 2026
- Updated
- Aug 31, 2026