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--- |
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license: apache-2.0 |
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tags: |
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- skin |
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- disease |
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- health |
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--- |
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### Key Features |
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+ Images are stored as binary data (more efficient than base64) |
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+ Standard 224×224 resizing for ML compatibility |
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+ Automatic RGB conversion for consistency |
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+ Both original and processed dimensions tracked |
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### Data Structure: |
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+ `disease_label`: disease_name, # String - Disease classification/name |
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+ `image_filename`: image_file.name, # String - Original filename |
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+ `image_path`: str(image_file), # String - Full path to original image |
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+ `image_data`: img_bytes, # Bytes - Raw JPEG image bytes |
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+ `original_width`: original_width, # Int - Source image width in pixels |
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+ `original_height`: original_height, # Int - Source image height in pixels |
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+ `processed_width`: img.width, # Int - Final processed image width |
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+ `processed_height`: img.height, # Int - Final processed image height |
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+ `channels`: len(img.getbands()), # Int - Number of color channels (3 for RGB) |
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+ `file_size_bytes`: image_file.stat().st_size, # Int - Original file size |
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+ `compressed_size_bytes`: len(img_bytes) # Int - Compressed JPEG size |
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### Copyright |
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(c) Copyright 2025 Finbarrs Oketunji. All Rights Reserved. |
