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 (30).jpg
.jpg)
- Xet hash:
- 9ef1ea98c97e4cfe2cb63a6596d9536420edfbf1780312b3489d7ae271f021b1
- Size of remote file:
- 111 kB
- SHA256:
- 066043f4c38010d8e5ef6ca3293f596551159a6122cf56415b4b39e6ae939323
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.