https://www.kaggle.com/competitions/eclipse-megamovie
Competition participants will "train" a machine by writing code and utilizing the training dataset provided to automatically categorize eclipse photographs within one of several categories based on the phase of the eclipse. People interested in participating in this competition are recommended to have a working knowledge of python and machine learning fundamentals.
Prizes:
First Prize: Image-stabilized binoculars with solar filters, Spotlight on the Eclipse Megamovie website, Eclipse Megamovie Team Patch, NASA Calendar, Eclipse Megamovie Sticker, First Prize Certificate.
Second Prize: Spotlight on the Eclipse Megamovie website, Eclipse Megamovie Team Patch, NASA Calendar, Eclipse Megamovie Sticker, Second Prize Certificate.
Third Prize: Spotlight on the Eclipse Megamovie website, Eclipse Megamovie Team Patch, NASA Calendar, Eclipse Megamovie Sticker, Third Prize Certificate.
Participants will help to ensure that the data [photographs of eclipses] can be quickly organized and have the correct information (metadata) associated with each image. By helping us develop code that accurately identifies the solar eclipse phases within photographs submitted by volunteers, you will enable us to cross a major data processing hurdle. With your code, you are paving the way for this NASA-funded research endeavor to study solar jets and plasma plumes!
Your mission is to create the most accurate sorting machine that categorizes a solar eclipse photograph into a specific solar eclipse phase. You will know you have succeeded if your code is able to successfully categorize the photographs provided into the following categories: Darks or flats (calibration shots), partial eclipse phases (bins of 20 degrees), the diamond ring phase, total solar eclipse phases, and of course a category for things that are not solar eclipses.
We look forward to seeing the interesting and innovative methods you come up with to categorize this data.
Clear skies,
Hannah :)