Ubuntu commited on
Commit
918e641
1 Parent(s): 5930712

added new description

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -17,7 +17,7 @@ def detect_turbine_anomaly(image):
17
 
18
  description = """
19
  <center><img src="https://huggingface.co/spaces/intelliarts/hotspot-anomaly-detection-for-solar-panels/resolve/main/images/ia_logo.png" width=270px> </center><br>
20
- <p style="font-size: 20px; text-align: center;"">This is a demo of a wind farm management model designed to monitor the condition of wind turbines. It can be integrated into a drone surveillance system to enhance inspection processes. The model identifies obstacles such as power lines and antennas, helping to plan efficient paths for drones and preventing potential collisions. You can test the model with your own drone footage or utilize samples from our dataset.</p>
21
  """
22
 
23
 
 
17
 
18
  description = """
19
  <center><img src="https://huggingface.co/spaces/intelliarts/hotspot-anomaly-detection-for-solar-panels/resolve/main/images/ia_logo.png" width=270px> </center><br>
20
+ <p style="font-size: 20px; text-align: center;"">This is a demo of a computer vision model by Intelliarts. It's designed to detect visible damages in turbine blades. The model operates on regular images of wind turbine blades. It indicates the damaged area, outlines it, and shows the approximate accuracy of damage detection. You can use your own regular images for testing or utilize samples from our dataset. This demo is not a finished ML solution but rather a proof of concept. It can be extended to detect other types or visible damages in wind turbines.</p>
21
  """
22
 
23