Kamlesh364/Mask-RCNN-TF2.7.0-keras2.7.0
Mask R-CNN for object detection and instance segmentation on Keras==2.7.0 and TensorFlow==2.7.0
This project helps developers integrate Mask R-CNN into their computer vision applications, specifically for object detection and instance segmentation. It takes an image as input and outputs the image with bounding boxes, segmentation masks, class labels, and confidence scores for each detected object. It is intended for machine learning engineers or computer vision developers who need to implement advanced object recognition in their systems.
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Use this if you are a developer working with TensorFlow 2.7.0 and Keras 2.7.0 and need to implement Mask R-CNN for tasks like identifying and precisely outlining multiple objects within images.
Not ideal if you are looking for a ready-to-use application with a graphical interface or if your development environment uses TensorFlow 1.x.
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Python
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Last pushed
Aug 22, 2022
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