mKartux/BanNano-model

Fruit Quality Classifier — EfficientNetV2

Modelo de clasificacion de frutas frescas vs podridas.

Detalles

Propiedad	Valor
Arquitectura	EfficientNetV2 (fine-tuned)
Clases	26 (13 frutas x 2 estados)
Input	224x224 RGB
Preprocesamiento	efficientnet_v2.preprocess_input
Formato	Keras .keras
Framework	TensorFlow 2.18
Fine-tuning	Google Colab

Clases

Fruta	Fresh	Rotten
Apple	Fresh_FreshApple	Rotten_RottenApple
Banana	Fresh_FreshBanana	Rotten_RottenBanana
Bellpepper	Fresh_FreshBellpepper	Rotten_RottenBellpepper
Bittergourd	Fresh_FreshBittergroud	Rotten_RottenBittergroud
Capsicum	Fresh_FreshCapciscum	Rotten_RottenCapsicum
Carrot	Fresh_FreshCarrot	Rotten_RottenCarrot
Cucumber	Fresh_FreshCucumber	Rotten_RottenCucumber
Mango	Fresh_FreshMango	Rotten_RottenMango
Okra	Fresh_FreshOkara	Rotten_RottenOkra
Orange	Fresh_FreshOrange	Rotten_RottenOrange
Potato	Fresh_FreshPotato	Rotten_RottenPotato
Strawberry	Fresh_FreshStrawberry	Rotten_RottenStrawberry
Tomato	Fresh_FreshTomato	Rotten_RottenTomato

Uso

import tensorflow as tf
model = tf.keras.models.load_model("hf://mKartux/BanNano-model/fruit_classifier.keras", compile=False)

API

Este modelo es usado por la API en: mKartux/BanNano