Inspiration
The need for better dataset inputs for ML models. As they say, garbage in garbage out.
What it does
Removes background from images using machine learning (see previous page)
How we built it
Tested various models to find the most accurate model. Realized that we need to crop the objects so we don't have misidentification.
Challenges we ran into
Monochromatic images gave the artificial intelligence problems in detecting subject vs background.
Accomplishments that we're proud of
We're proud that our project is capable of very accurately separating the subject of an image from its surroundings, even with images that supposedly have multiple subjects.
What we learned
How to refine our machine learning algorithm's inputs through careful testing and revising.
What's next for Back Off
Apply background removal to videos in real time.
Log in or sign up for Devpost to join the conversation.