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 (43).jpg
.jpg)
- Xet hash:
- c5d06f763a63528db2d09d13cb0b28c3ba14e2e8567067b5b15e25b07919701d
- Size of remote file:
- 501 kB
- SHA256:
- 138183ebf954e0a4a25f4d3b7c4dff37fbd58b9abd22b6726291f7b55e5f2bd5
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