How to use from the
Use from the
Keras library
# Available backend options are: "jax", "torch", "tensorflow".
import os
os.environ["KERAS_BACKEND"] = "jax"

import keras

model = keras.saving.load_model("hf://zferd/welding-defect")

Weld Defect Classifier

Classify weld defects from input image

Credits

[1] Benito Totino, Fanny Spagnolo, Stefania Perri, "RIAWELC: A Novel Dataset of Radiographic Images for Automatic Weld Defects Classification", in the Proceedings of the Interdisciplinary Conference on Mechanics, Computers and Electrics (ICMECE 2022), 6-7 October 2022, Barcelona, Spain.

[2] Stefania Perri, Fanny Spagnolo, Fabio Frustaci, Pasquale Corsonello, "Welding Defects Classification Through a Convolutional Neural Network", in press in Manufacturing Letters, Elsevier.

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