Instructions to use ecodigitus/ferroscan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ecodigitus/ferroscan with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ecodigitus/ferroscan") - Notebooks
- Google Colab
- Kaggle
| { | |
| "task": "corrosion_classifier", | |
| "classes": [ | |
| "corrosion", | |
| "no_corrosion" | |
| ], | |
| "test_accuracy": 0.9635879218472468, | |
| "macro_f1": 0.9631766390288063, | |
| "per_class": { | |
| "corrosion": { | |
| "precision": 0.9662921348314607, | |
| "recall": 0.9678456591639871, | |
| "f1": 0.9670682730923694, | |
| "support": 622.0 | |
| }, | |
| "no_corrosion": { | |
| "precision": 0.9602385685884692, | |
| "recall": 0.9583333333333334, | |
| "f1": 0.9592850049652433, | |
| "support": 504.0 | |
| } | |
| }, | |
| "n_train": 5250, | |
| "n_val": 1125, | |
| "n_test": 1126, | |
| "note": "Angka hasil training sendiri. Precedent literatur BUKAN hasil kami." | |
| } |