Update pages/Data Collection.py

pages/Data Collection.py

@@ -389,30 +389,13 @@ elif st.session_state.current_page == "explore_images_video":
     st.subheader("What is Black and White Color Space?")
     st.write("""
     Black and White color space, also known as binary color space, represents an image using only two colors: 
-    **black** and **white**. Each pixel in this color space is either completely black (value: 0) or completely white (value: 1 or 255, depending on the representation). 
+    **black** and **white**. 
+    
+    Each pixel in this color space is either completely black (value: 0) or completely white (value: 1 or 255, depending on the representation). 
     Black and White color space eliminates all color information, focusing entirely on light intensity.
     """)
-    
-    # Optional: Add an example visualization for Black and White color space
-    import numpy as np
-    import matplotlib.pyplot as plt
-    
-    st.write("**Example of Black and White Color Space:**")
-    # Generate a sample black and white grid
-    bw_grid = np.random.choice([0, 1], size=(10, 10))  # Binary grid (0 for black, 1 for white)
-    
-    # Create a plot to display
-    fig, ax = plt.subplots()
-    ax.imshow(bw_grid, cmap='gray', interpolation='nearest')  # Use 'gray' colormap
-    ax.set_title("Black and White Grid Example")
-    ax.set_xticks([])  # Remove x-axis ticks
-    ax.set_yticks([])  # Remove y-axis ticks
-    
-    # Display the plot in Streamlit
-    st.pyplot(fig)
-
-
 
+    
     # Go Back Button
     if st.button("Go Back"):
         navigate_to("main")