Task:
Step 1: we collect MIT Places2 dataset (http://places2.csail.mit.edu/download.html)
Step 2: Train CapsNet using the downloaded dataset
Step 3: Next implement same step follow step 2 change neural network CapsNet and use Faster RCNN, Fast RCNN and Mask RCNN
Step 4: Test the trained networks on MIT67 data set (http://web.mit.edu/torralba/www/indoor.html
Step 5: Plot the results for accuracy
Step 6: Plot the confusion matrix
Step 6: Using the images of MIT67 data set show how it is recognising the scenes. The output should be like the figures shown below or equivalent to it,
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