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<!DOCTYPE html> |
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<html lang="en"> |
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<meta charset="UTF-8"> |
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<title>Title</title> |
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<style> |
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.outer-box { |
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position: relative; |
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display: inline-block; |
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padding: 5px 10px; |
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border: 1px solid white; |
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margin-left: 350px; |
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margin-bottom: 5px; |
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border-radius: 30px; |
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} |
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body{ |
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background: linear-gradient(135deg, #1a1b2d, #2c3e50, #34495e, #3b3f73); |
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width: 1480px; |
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min-height: 100vh; |
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padding: 15px; |
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} |
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#docs a { |
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width: 400px; |
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margin:20px; |
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padding: 40px; |
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height: 30px; |
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display: block; |
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border-radius: 10px; |
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color: white; |
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text-decoration: none; |
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padding: 5px 16px; |
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} |
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#docs a:hover { |
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color: white; |
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background-color: #0d6efd; |
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} |
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.table-container { |
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overflow-x: auto; |
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max-width: 100%; |
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} |
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table { |
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border-collapse: collapse; |
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width: auto; |
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white-space: nowrap; |
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} |
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table, th, td { |
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border: 2px solid White; |
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padding: 8px; |
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} |
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</style> |
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.3/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-QWTKZyjpPEjISv5WaRU9OFeRpok6YctnYmDr5pNlyT2bRjXh0JMhjY6hW+ALEwIH" crossorigin="anonymous"> |
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</head> |
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<body class="text-light"> |
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<div class="outer-box"><h1> WBC's Object Detection Using YOLO 11 </h1> </div> |
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<br> |
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<ul class="nav nav-pills"> |
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<li class="link-primary"> |
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<a class="nav-link " aria-current="page" href="/index">Home</a> |
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</li> |
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<li class="link-primary"> |
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<a class="nav-link" href="/wbc_info">WBC's Info</a> |
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</li> |
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<li class="link-primary"> |
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<a class="nav-link active" href="/document">Documentations</a> |
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</li> |
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</ul> |
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<br> |
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<h2>Here are links to the project's key components:</h2> |
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<nav id="docs"> |
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<ul> |
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<li><a href="https://www.linkedin.com/in/saurabh-maulekhi-326584241/" target="_blank" rel="noopener noreferrer"><b>Linked Profile</b></a></li> |
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<li><a href="https://www.kaggle.com/code/saurabhmaulekhi/yolo-2017-v1-paper-reimplementation" target="_blank" rel="noopener noreferrer"><b>YOLO V1 Paper Reimplimentation</b></a></li> |
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<li><a href="https://www.kaggle.com/code/saurabhmaulekhi/wbc-object-detection-using-yolo-11" target="_blank" rel="noopener noreferrer"><b>ML Model Deployment (Kaggle NoteBook)</b></a></li> |
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<li><a href="https://github.com/Saurabh-Maulekhi/WBCs-s-Object-Detection" target="_blank" rel="noopener noreferrer"><b>Github Repo</b></a></li> |
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<li><a href="https://www.kaggle.com/models/saurabhmaulekhi/wbc_detection_with_yolo11" target="_blank" rel="noopener noreferrer"><b> Model Download</b></a></li> |
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<li><a href="https://www.linkedin.com/posts/saurabh-maulekhi-326584241_machinelearning-deeplearning-yolo-activity-7299077257233321984-Y5z_?utm_source=share&utm_medium=member_desktop&rcm=ACoAADwQMM4BXaCYT_LwYhxeLC7BWY3KrAVFQOY" target="_blank" rel="noopener noreferrer"><b> Explain/Demo video</b></a></li> |
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</ul> |
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</nav> |
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<br> |
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<h2>Detailed Epoch Training Metrics and Performance:</h2> |
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<br> <br> |
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<img src="https://raw.githubusercontent.com/Saurabh-Maulekhi/WBCs-s-Object-Detection/refs/heads/main/Documents/results.png" width="1500" height="500" class="figure-img img-fluid rounded" alt="Error"> |
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<br> <br> |
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<img src="https://raw.githubusercontent.com/Saurabh-Maulekhi/WBCs-s-Object-Detection/refs/heads/main/Documents/confusion_matrix.png" width="700" height="500" class="img-thumbnail" alt="Error"> |
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<img src="https://raw.githubusercontent.com/Saurabh-Maulekhi/WBCs-s-Object-Detection/refs/heads/main/Documents/confusion_matrix_normalized.png" width="700" height="500" class="img-thumbnail" alt="Error"> |
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<br> <br> |
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<img src="https://raw.githubusercontent.com/Saurabh-Maulekhi/WBCs-s-Object-Detection/refs/heads/main/Documents/F1_curve.png" width="700" height="500" class="img-thumbnail" alt="Error"> |
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<img src="https://raw.githubusercontent.com/Saurabh-Maulekhi/WBCs-s-Object-Detection/refs/heads/main/Documents/P_curve.png" width="700" height="500" class="img-thumbnail" alt="Error"> |
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<br> <br> <br> |
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<h3><u>Training Table:</u></h3> |
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<br><br> |
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<div class="table-container"> |
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<table class="table-bordered"> |
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<thead> |
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<tr> |
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{% for column in columns %} |
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<th><b>{{ column }}</b></th> |
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{% endfor %} |
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</tr> |
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</thead> |
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<tbody> |
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{% for row in data %} |
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<tr> |
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{% for column in columns %} |
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<td>{{ row[column] }}</td> |
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{% endfor %} |
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</tr> |
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{% endfor %} |
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</tbody> |
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</table> |
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</div> |
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</body> |
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</html> |
