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
.jpg)
- Xet hash:
- 423fc99e16751c5fb76eb3e323938cd5f40057ceb1456f4c0962eba04f3a6c09
- Size of remote file:
- 950 kB
- SHA256:
- da85d805ea46665f3007c20040b1ba375d53c1831f01136816f8985231add3ae
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.