Technology is only for the genius geeks. If you are not from one of the prestigious engineering schools, you cannot be a part of it. You need to be in Silicon Valley to be relevant. You need to be good at math to be a programmer. You need expensive gadgets to be a deep learning researcher...Or is it?
Our mission is to help people overcome the above myths.
Founding Researchers at fast.ai
Inspired by fast.ai's mission to make deep learning accessible, ECIR Labs provides resources to make technology more accessible. We provide the tools, data, education, career guidance, and more to help people get started. Sure, it won't be perfect, but we will keep improving to better help you. Maybe even you can later contribute, too!
2021 Q4
As image researchers browse to find image sources, they often come across files that have a list of image URLs. But oh no, how do I preview the dataset before downloading them? Simply copy paste random URLs on the browser?. Our mini-solution is to create an image viewer that converts a file containg a list of URLs into viewable thumbnails.
2022 Q1
We at ECIR Labs strive to find means to set brilliant researchers free from financial restrictions. That's the very reason why we provide research tools and help researchers host their projects on our platform. But we understand that our solutions aren't that helpful because things often boil down to money problems. So we've ideated on a few ways to help our community better, and first up on the test-bed is our community's self-sustained ECIR Token.
2022 Q2
There are A LOT of images online for researchers to download. But they are all scattered around, and how might we centralize them? Also, how do we ensure those images are ethically created? Our mini-solution is to create our own image net platform where people can crowdsource, filter, and discuss images in a safe environment. Hence, the name We-mage Net.