Image Classification
Keras
English
solar-panel
defect-detection
computer-vision
deep-learning
tensorflow
transfer-learning
Instructions to use zaheerjk/Solar-Panel-Defect-Classification-Using-Deep-Learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zaheerjk/Solar-Panel-Defect-Classification-Using-Deep-Learning with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zaheerjk/Solar-Panel-Defect-Classification-Using-Deep-Learning") - Notebooks
- Google Colab
- Kaggle
Solar-Panel-Defect-Classification-Using-Deep-Learning / Data /Electrical-damage /Electrical (41).jpg
.jpg)
- Xet hash:
- 8f2e566cd85101f43f26d773dd0fbb6c4a29a988e492cf8e450b9e490ea3ae41
- Size of remote file:
- 243 kB
- SHA256:
- c222d133cf051dc58dca00c9dd054a0d23b5c9bd7d416147a2361ac672a882cf
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