|
|
|
|
|
|
by Huongngtm
2021 days ago
|
|
|
I'm just curious what we would love to use object recognition for, in a context as broad as possible. Plant identification is a convincing use case. By the way, storing images with face recognition is quite convenient using Google Photos too. |
|
|
Mix in ML to identifying food for their nutritional content, calorie intake monitor and future projection on your health if you stay on this course.
There is an old adage; You are what you eat.
I'm in the process of doing just this. I've taken pictures of every meal/snack whatever I ingested since 2005. I have over 15,000 images of food. Now that ML and computing power has come into play. I want to create this exact thing. Then correlate with my health. I want to see if there are cause and effect to my eating.
Furthermore, I have my exercise history as well.
I am what you call: Quantify Self.
Another use-case for your ask is cataloging or inventory. Two of the hardest and only human capable things. Imagine not a neatly piled but a large heap of things. How does an AI/robot make sense of it? What is it? How many are there? Is it heavy? Moveable? etc...
Your ask is very large open ended question.
What exactly is your endgame?
> quite convenient using Google Photos too
Googl already has too much of me. The last thing I want is all of my pictures stored, triaged, scanned, archived. I'm pretty darn sure they are using them as a great ML dataset. The images you get off of general searches are junk compared to the goldmine of a personally curated gallery. Big difference.