Segment cell organelles with pixellib 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(&quot;mask_rcnn_coco.h5&quot;)
        segment_image.segmentImage(&quot;cell.jpg&quot;, output_image_name=&quot;cell_seg.jpg&quot;, show_bboxes=True)

Cell example image:

Example segmentation result:
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.