text: user9131: I've got some images of cell organelles and I really want to avoid labeling them by hand. The images all look something like the image below. Is there already an existing model specifially for cells? I tried it with existing models like mask_rcnn_coco.h5 or deeplabv3_xception65_ade20k.h5 but as they aren't built for cells the results aren't good.
  My code is pretty basic right now:
  from pixellib.instance import instance_segmentation
  
  from PIL import Image
  
      def segmentImage():
          segment_image = instance_segmentation()
      
          segment_image.load_model("mask_rcnn_coco.h5")
          segment_image.segmentImage("cell.jpg", output_image_name="cell_seg.jpg", show_bboxes=True)
  
  Cell example image:
  
  Example segmentation result:
  
  
  user10058: I am the creator of PixelLib. PixelLib supports instance segmentation of 80 classes of objects using pre-trained coco model. Cell organelles is not part of the classes supported.
  The only solution is to train your own custom model. PixelLib supports custom training of a model using your own labelled dataset. Read this article I published on how to train a custom model with PixelLib.
  
original_text: 9131: <p>I've got some images of cell organelles and I really want to avoid labeling them by hand. The images all look something like the image below. Is there already an existing model specifially for cells? I tried it with existing models like <code>mask_rcnn_coco.h5</code> or <code>deeplabv3_xception65_ade20k.h5</code> but as they aren't built for cells the results aren't good.</p>
  <p>My code is pretty basic right now:</p>
  <pre><code>from pixellib.instance import instance_segmentation
  
  from PIL import Image
  
      def segmentImage():
          segment_image = instance_segmentation()
      
          segment_image.load_model(&quot;mask_rcnn_coco.h5&quot;)
          segment_image.segmentImage(&quot;cell.jpg&quot;, output_image_name=&quot;cell_seg.jpg&quot;, show_bboxes=True)
  </code></pre>
  <p>Cell example image:</p>
  <p><a href="https://i.stack.imgur.com/zr3LZ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zr3LZ.png" alt="cell organelle example image" /></a></p>
  <p>Example segmentation result:</p>
  <p><a href="https://i.stack.imgur.com/jkXGw.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/jkXGw.jpg" alt="enter image description here" /></a></p>
   10058: <p>I am the creator of PixelLib. PixelLib supports instance segmentation of 80 classes of objects using pre-trained coco model. Cell organelles is not part of the classes supported.
  The only solution is to train your own custom model. PixelLib supports custom training of a model using your own labelled dataset. Read this <a href="https://towardsdatascience.com/custom-instance-segmentation-training-with-7-lines-of-code-ff340851e99b" rel="nofollow noreferrer">article</a> I published on how to train a custom model with PixelLib.</p>
  