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Learn to train and implement Mask R-CNN for image segmentation using free online GPU resources in this 34-minute tutorial. Discover how to collect and prepare image datasets, train the model using Google Colab, and apply the trained model for object detection. Follow step-by-step instructions to create image datasets, train Mask R-CNN, test the trained model, and run it on new images. Gain practical insights into advanced computer vision techniques and deep learning applications for object detection and segmentation.
Syllabus
Create Image Dataset
Train Mask-RCNN
Test your trained model
Run Mask-RCNN on an image
Introducing Train Mask-RCNN minicourse
Taught by
Pysource