Today Gil dives into the life of Datagen’s head researcher Dr. Jonathan Laserson. Dr. Jonathan
“Paradoxically, data is the most under-valued and de-glamorized aspect of AI,” lamented Google researchers in
As artificial intelligence (AI) becomes increasingly ubiquitous, companies are flocking to implement AI in their
In this post, we are excited to present how we have trained a network to
The 2021 Conference on Computer Vision and Pattern Recognition (CVPR) has just commenced. With topics
The eyes are the window to the soul. Or so the saying goes. But they’re
Computer vision systems are being embedded in, and changing, a huge variety of applications and
Most people can recognize about 5,000 faces, and it takes a human 0.2 seconds to
Data is the new oil. Some have even compared it to nuclear power. Metaphors aside,
Understanding images of indoor home environments is a fundamental task for many applications of computer
We are excited to share a lecture that Nathan Cavaglione, an algorithm engineer at Datagen,
One of the key challenges in the field of computer vision is assembling large enough
In this piece, let’s explore the world of data annotation. We’ll start with the basics:
Nothing lasts forever – be it youth, beauty, your laptop’s battery, or the accuracy of
Nowadays, there’s a lot of talk about Computer Vision and its potential impact on a
In recent years, advances in synthetic data generation have promised a solution to the data
In this post, we’re excited to present how we’ve trained a network to identify dry-erase
We are only halfway through 2020 and, already, COVID-19 is has reshaped how societies around
Covid-19 has affected every corner of the globe – taking lives, destroying livelihoods, and shaping
“AI algorithms are only as good as the data used to train them.” This common
At Datagen, we’re actively investing in academic collaborations and benchmarking research that can further establish
The promise of synthetic data has been clear since its inception.By creating a fully “synthetic”
