jackfrost1411/MaskRCNN
Mask RCNN implementation on a custom dataset! All incorporated in a single python notebook!
This tool helps computer vision engineers and researchers to train an image segmentation model using their own image collections. You provide images with outlines around objects of interest, and it produces a model that can automatically detect and precisely segment those objects in new images. This is ideal for anyone working on tasks like identifying specific items in product photos, analyzing medical scans, or tracking objects in surveillance footage.
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Use this if you need to build a custom computer vision model to identify and precisely outline specific objects within your unique set of images.
Not ideal if you're looking for an off-the-shelf solution without custom training, or if you only need to classify entire images rather than segment individual objects.
Stars
18
Forks
18
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 26, 2020
Commits (30d)
0
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