Instructions to use zferd/welding-defect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zferd/welding-defect with Keras:
# 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") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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---
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language: en
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license: mit
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datasets:
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- RIAWELC
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tags:
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- image-classification
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- welding
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- keras
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---
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# Weld Defect Classifier
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Classify weld defects from input image
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## Credits
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[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.
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[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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