Hi,

For our final project we wanted to use the 'Facial Keypoints Detection' dataset on kaggle:

Here we would be trying to use the data to predict where features lie on a persons face. We wanted to first check with you to make sure that this task is reasonable, since it is not one of the tasks on the sheet.

The data files are described as follows:

• training.csv: list of training 7049 images. Each row contains the (x,y) coordinates for 15 keypoints, and image data as row-ordered list of pixels.
• test.csv: list of 1783 test images. Each row contains ImageId and image data as row-ordered list of pixels
• submissionFileFormat.csv: list of 27124 keypoints to predict. Each row contains a RowId, ImageId, FeatureName, Location. FeatureName are "left_eye_center_x," "right_eyebrow_outer_end_y," etc. Location is what you need to predict.
  

Best wishes,

Elizabeth Baker and Jan Wuzyk