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Update README.md

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@@ -53,7 +53,7 @@ Frameworks used:
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  Since no pretrained model exists specifically for anime line extraction, the model was trained using a custom dataset and automatically generated edge masks.
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/h06ej-ODkw5tDAx3X6KfL.png" width="80%">
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  ### Intended Use Cases
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  Potential applications include:
@@ -216,7 +216,7 @@ IoU: ~0.21
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  These metrics indicate that the model is able to detect meaningful edge structures but struggles with extremely thin line details.
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/zvCczs-TB241YW4FuVIOF.png" width="35%">
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  ## Key Observations
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@@ -226,7 +226,7 @@ What worked well:
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  - Captured hair boundaries
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  - Detected facial structures
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/dlkCHCrPtBJPvy7sGSc8j.png" width="75%">
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  Failure cases:
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@@ -234,10 +234,10 @@ Failure cases:
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  - Dark scenes
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  - Shading lines interpreted as edges
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  - Excessive background detail
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- <div>
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/Hi0LQhIQZvWlAd_44o88H.png" width="75%">
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/KnIMiKkePB9aDNausGNDp.png" width="75%">
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- </div>
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  These results show that the model learned meaningful edge structures despite the noisy annotations generated from Canny edge detection.
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  ## Visual Examples
@@ -337,12 +337,12 @@ Additional research directions include:
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  - Object detection models for automatic removal of occlusions
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/NKCNnMBSAzzhAPjaZiX9y.png" width="50%">
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  - Line art upscaling techniques
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/9cisCYIkU_y45UJtJRNcE.png" width="50%">
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  - Using detected edges for stitching animation panning shots
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/ZDIrGENzx4oy-Vj_jyQMa.gif" width="50%">
 
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  Since no pretrained model exists specifically for anime line extraction, the model was trained using a custom dataset and automatically generated edge masks.
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/h06ej-ODkw5tDAx3X6KfL.png" width="100%">
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  ### Intended Use Cases
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  Potential applications include:
 
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  These metrics indicate that the model is able to detect meaningful edge structures but struggles with extremely thin line details.
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/zvCczs-TB241YW4FuVIOF.png" width="50%">
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  ## Key Observations
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  - Captured hair boundaries
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  - Detected facial structures
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/dlkCHCrPtBJPvy7sGSc8j.png" width="100%">
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  Failure cases:
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  - Dark scenes
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  - Shading lines interpreted as edges
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  - Excessive background detail
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/Hi0LQhIQZvWlAd_44o88H.png" width="100%">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/KnIMiKkePB9aDNausGNDp.png" width="100%">
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+
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  These results show that the model learned meaningful edge structures despite the noisy annotations generated from Canny edge detection.
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  ## Visual Examples
 
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  - Object detection models for automatic removal of occlusions
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/NKCNnMBSAzzhAPjaZiX9y.png" width="100%">
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  - Line art upscaling techniques
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/9cisCYIkU_y45UJtJRNcE.png" width="100%">
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  - Using detected edges for stitching animation panning shots
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/6972a2622ef5ed3b50628995/ZDIrGENzx4oy-Vj_jyQMa.gif" width="100%">