LakshmiHarika commited on
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Update pages/Data Collection.py

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  1. pages/Data Collection.py +2 -3
pages/Data Collection.py CHANGED
@@ -356,12 +356,12 @@ elif st.session_state.current_page == "explore_images_video":
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  <p style="font-size: 16px; color: #333;">
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  Imagine you're building a machine learning model to classify images of dogs and cats. You provide the model with images, but since the machine cannot understand images directly, you need to convert them into numerical data. This is where color spaces play a vital role. They help convert the color information in the images into numbers that the machine can process, allowing it to learn from the data and make accurate predictions.
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  </p>
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  <h4 style="color: #5b2c6f;">Common Color Spaces</h4>
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  <p style="font-size: 16px; color: #333;">
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  Below are some common color spaces used in image processing:
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  </p>
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  <h5 style="color: #333;">1. Black and White</h5>
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  <p style="font-size: 16px; color: #333;">
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  This color space represents an image with just two colors—black and white. It is often used to simplify images by focusing on brightness or contrast, removing the color information.
@@ -380,7 +380,6 @@ elif st.session_state.current_page == "explore_images_video":
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  """, unsafe_allow_html=True)
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  <p style="font-size: 16px; color: #333;">
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  Imagine you're building a machine learning model to classify images of dogs and cats. You provide the model with images, but since the machine cannot understand images directly, you need to convert them into numerical data. This is where color spaces play a vital role. They help convert the color information in the images into numbers that the machine can process, allowing it to learn from the data and make accurate predictions.
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  </p>
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  <h4 style="color: #5b2c6f;">Common Color Spaces</h4>
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  <p style="font-size: 16px; color: #333;">
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  Below are some common color spaces used in image processing:
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  </p>
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  <h5 style="color: #333;">1. Black and White</h5>
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  <p style="font-size: 16px; color: #333;">
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  This color space represents an image with just two colors—black and white. It is often used to simplify images by focusing on brightness or contrast, removing the color information.
 
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  """, unsafe_allow_html=True)
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