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SolarPanelAnomaly

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zklee98 commited on Jun 14, 2023

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1 Parent(s): a7ae9d2

Update app.py

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@@ -124,7 +124,7 @@ def predict(classification_mode, image):
 description = """
-<center><img src="https://i0.wp.com/mapperx.com/wp-content/uploads/2023/01/Termal-Drone-Ile-Pv-Panel-Inceleme.jpg?w=1600&ssl=1" width=270px> </center><br><br><br><br>
 <center>This program identifies the type of anomaly found in solar panel using an image classification model and the percentage of the affected area using an image segmentation model.</center>
 <center><i>(Models are trained on <a href="https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth22.pdf">InfraredSolarModules</a> dataset, and hence expect infrared image as input)</center></i>
 """

 description = """
+<center><img src="https://huggingface.co/spaces/zklee98/SolarPanelAnomaly/resolve/main/dronePV_picture.jpg" width=270px> </center><br><br><br><br>
 <center>This program identifies the type of anomaly found in solar panel using an image classification model and the percentage of the affected area using an image segmentation model.</center>
 <center><i>(Models are trained on <a href="https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth22.pdf">InfraredSolarModules</a> dataset, and hence expect infrared image as input)</center></i>
 """