Problem: The problem is to architect and train a model which is able to output the parameters of the circle present inside of a given image under the presence of noise. The model should output a...

Problem:The problem is to architect and train a model which is able to output the parameters of the circle present inside of a given image under the presence of noise. The model should output a circle parameterized by (row, column, radius) which specifies the center coordinates of the circle in the image and the radius of the circle. Please do not use a pre-trained architecture/model and try not to spend more than 3-4 hours hours (not a hard rule) on this problem. (Excluding model training time)

Example Images:

See attached

Deliverables: (All 3 required)

• Trained model and working find_circle method


• The standard output of the model training in a file called trainingoutput.txtmake sure that the training loss is visible in the output logs.


• The code used to define & train the model

Evaluation Criteria:

• Try to get as high of a score as you can but .9 is the minimum for your submission to be consider using the metric [email protected]. The provided main function will evaluate this metric on 1000 examples with a noise level of 2, we will use this main function to evaluate the model you produce.


• Model Architecture. You do not need to use an unnecessarily large CNN backbone (> 10 convolutional/linear layers or >1M trainable parameters)


• Loss function and optimizer used to train the model


• Code quality and cleanliness. Please make sure to follow the general python conventions