Rhodham96 commited on
Commit
1d0d8c3
·
1 Parent(s): a42a6cf

small changes in text

Browse files
Files changed (1) hide show
  1. SatelliteClassification.py +3 -3
SatelliteClassification.py CHANGED
@@ -261,7 +261,7 @@ def create_interface():
261
  fn=predict_images,
262
  inputs=[],
263
  outputs=[
264
- gr.Image(type="pil", label="Classification Results (16 Random Images)"),
265
  gr.Textbox(label="Summary", lines=3)
266
  ],
267
  title="🛰️ Satellite Image Classification with ResNet18",
@@ -269,7 +269,7 @@ def create_interface():
269
  This app classifies satellite images from the EuroSAT dataset using a trained ResNet18 model.
270
 
271
  **How it works:**
272
- - Loads 16 random satellite images from the validation set
273
  - Each image has 13 spectral bands, converted to RGB for display
274
  - Shows true labels vs predicted labels
275
  - Green titles = correct predictions, Red titles = incorrect predictions
@@ -277,7 +277,7 @@ def create_interface():
277
  **Dataset:** EuroSAT with 13 multispectral bands
278
  **Model:** ResNet18 with dropout, trained on 13-channel input
279
 
280
- Click "Generate" to process 16 new random images!
281
  """,
282
  examples=[],
283
  cache_examples=False,
 
261
  fn=predict_images,
262
  inputs=[],
263
  outputs=[
264
+ gr.Image(type="pil", label="Classification Results (10 Random Images)"),
265
  gr.Textbox(label="Summary", lines=3)
266
  ],
267
  title="🛰️ Satellite Image Classification with ResNet18",
 
269
  This app classifies satellite images from the EuroSAT dataset using a trained ResNet18 model.
270
 
271
  **How it works:**
272
+ - Loads 10 random satellite images from the test set
273
  - Each image has 13 spectral bands, converted to RGB for display
274
  - Shows true labels vs predicted labels
275
  - Green titles = correct predictions, Red titles = incorrect predictions
 
277
  **Dataset:** EuroSAT with 13 multispectral bands
278
  **Model:** ResNet18 with dropout, trained on 13-channel input
279
 
280
+ Click "Generate" to process 10 new random images!
281
  """,
282
  examples=[],
283
  cache_examples=False,