π΅οΈ Introduction
Solving a Rubik's cube is now too mainstream they say. But what if you have 10,000 pictures of the Rubiks cube and you are asked to stitch it all together? This is not a problem we need, this is a problem we deserve!
For input you will be given a large number of images, for about half of them, we have measured the orientation of the cube. But to be able to stitch all those images together, you have to figure out how to predict
the orientation
of the Rubik's Cube
for the rest of the images.
Understand with code! Here is some code to get you started right away! π :
πΎ Dataset
The training dataset consists of 5000
images of size 512x512
with 3
channels each (for RGB
). The associated labels is single continuous variable:
xRot
: Orientation of the Cube, in degrees, along an arbitrarily chosen axis (a number between0
and360
). The axis around which this value is measured is consistent across the whole of the training and the test set.
The test dataset consists of 5001
images of size 512x512
with 3
channels each (for RGB
). The goal of the task is to predict the xRot
value of the Rubik's Cube in these test images.
π Files
Following files are available in the resources
section:
train.tar.gz
- (5000
samples) Tar File containing all the training images, and associated labelstest-images.tar.gz
- (5001
samples) Tar file containing all the test imagessample_submission.csv
- A sample submission file (with random predictions) to demonstrate the expected file structure by the evaluation setup.
π Submission
- Prepare a CSV containing header as :
filename
,xRot
- The values of the
filename
the column should match the file name of each of the images in the test set. - The values of the
xRot
should be a number between0
and360
, representing the orientation of the cube (in degrees) along the respective axis.
- Sample submission format is available in the
resources
section of the challenge page assample_submission.csv
.
Make your first submission here π !!
π Evaluation Criteria
During the evaluation, Mean Squared Error be used to test the overall performance of your solution.
π± Contact
Notebooks
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