I am new in pytorch and deep learning can any one help me to start custom object detection using CNN

MUHAMMAD_JAHANZAIB_K: <p>i am new in pytorch and deep learning  can any one help me to start custom  object detection using CNN . i understand and also implement the object classification but i am stack on object detection plz help me to start object detection Thank you.</p>

ptrblck: <p>The <a href="https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html">Object Detection Tutorial</a> might be a good start. <img src="https://discuss.pytorch.org/images/emoji/apple/wink.png?v=9" title=":wink:" class="emoji" alt=":wink:"></p>

PatrickB: <p>You can also check out this repository here which support Object Detection and a lot of other scenarios. For object detection it’s purely based on torchvision: <a href="https://github.com/microsoft/computervision-recipes" rel="noopener nofollow ugc">link</a></p><aside class="onebox allowlistedgeneric" data-onebox-src="https://github.com/microsoft/computervision-recipes">
  <header class="source">
      <img src="https://github.githubassets.com/favicons/favicon.svg" class="site-icon" width="32" height="32">

      <a href="https://github.com/microsoft/computervision-recipes" target="_blank" rel="noopener nofollow ugc">GitHub</a>
  </header>

  <article class="onebox-body">
    <div class="aspect-image" style="--aspect-ratio:690/365;"><img src="https://repository-images.githubusercontent.com/170161374/44d38280-094f-11ea-9181-aca44cd96864" class="thumbnail" width="690" height="365"></div>

<h3><a href="https://github.com/microsoft/computervision-recipes" target="_blank" rel="noopener nofollow ugc">GitHub - microsoft/computervision-recipes: Best Practices, code samples, and...</a></h3>

  <p>Best Practices, code samples, and documentation for Computer Vision. - GitHub - microsoft/computervision-recipes: Best Practices, code samples, and documentation for Computer Vision.</p>


  </article>

  <div class="onebox-metadata">
    
    
  </div>

  <div style="clear: both"></div>
</aside>

<p><div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/6/7/67ca368fcf3d578f6195a5409046848d103f7ac0.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/67ca368fcf3d578f6195a5409046848d103f7ac0" title="cv_overview"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/6/7/67ca368fcf3d578f6195a5409046848d103f7ac0_2_690x331.jpeg" alt="cv_overview" data-base62-sha1="eOapYZDEXaDgHYPXjvAjRm8AB3i" width="690" height="331" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/6/7/67ca368fcf3d578f6195a5409046848d103f7ac0_2_690x331.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/6/7/67ca368fcf3d578f6195a5409046848d103f7ac0_2_1035x496.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/original/3X/6/7/67ca368fcf3d578f6195a5409046848d103f7ac0.jpeg 2x" data-dominant-color="979490"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">cv_overview</span><span class="informations">1046×502 93.5 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>