Welcome! Please contribute your ideas for what challenges we might aspire to solve, changes in our community that can improve machine learning impact, and examples of machine learning projects that have had tangible impact.
Lacking context for this site? Read the original paper: Machine Learning that Matters (ICML 2012). You can also review the slides.
Object Detection
-
8 Comments sorted by
-
Can you elaborate and be more specific about the challenge? What level of performance, on what kind of particular task, would constitute and important and meaningful result?
-
It's estimated that human vision can recognize between 20,000 and 100,000 object categories, so have good performace on imagenet will enable real use.
Specific
- collaborate with robotics researchers - one that I can think of is willow garage
- collaborate with economists to quantify the economic impact of robust object detection.
- inventory taking app on smartphones, ie. anyone can take their smartphone to a walmart and have it detect any category. This is basically what google goggles does, though it is not very good at present. Also, this app could do inventory of e.g. a household kitchen or dressing table etc.
Welcome!
To post or add a comment, please sign in or register.
If search doesn't work, try putting a + in front of your search term.