Inspiration
Do not get try multi-label classification problems that often which also impact the environment around us.
What it does
Takes an image as input, returns possible labels of food items
How I built it
With Python and deep learning frameworks
Challenges I ran into
Lack of hardware resources such as powerful GPUs for training
Accomplishments that I'm proud of
I am yet to get a great submission,
What I learned
Tweak code to suit resource constraints
What's next for hackPicnic
Better Performance, trying out with different experiments
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