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:
- 464b3e2afbac8ee171e7084254e839400187d04627e1b415e7a8b024195310f5
- Size of remote file:
- 715 kB
- SHA256:
- 5d531829dc067b38d4ee3fe475d14201883819adfc6d599b5ffd6963472b349c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.