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 (35).jpg
.jpg)
- Xet hash:
- 35cbb0c0617d46d512eb80c065273695b0e79a19870d0192914deb249c4fd615
- Size of remote file:
- 174 kB
- SHA256:
- 33535943c1711a2785a024921c5247df6d2c753f92bceeb406aefac083377a30
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