Introduction
Over 150 million tons of plastic lie in the planet's oceans, with studies finding that only 20% of plastic waste at sea is linked to maritime activities.
Performing real-time video inference is crucial for many applications like autonomous vehicles, security systems, logistics, and more. However, setting up a robust video inference pipeline can be time consuming. You
Starting a machine learning model from zero is computationally expensive and time-consuming. Pre-trained models solve this by offering a jump-start: they come with learned features from extensive training on large
This article was contributed to the Roboflow blog by Abirami Vina.
Introduction
Child safety is a priority for parents and caregivers, an issue society takes seriously. While traditional safety measures
This is a guest post with Jose Gabriel Islas Montero (ML Engineer and Evangelist at Tenyks), and Dmitry Kazhdan (CTO & Co-Founder at Tenyks)
Introduction
When improving an object detection
With the rise of large language models (LLM’s), people often forget about the vast, important world of computer vision. This world is evolving at an unprecedented pace, driven by
“Data is like garbage. You’d better know what you are going to do with it before you collect it.” - Mark Twain
Introduction
4.5 trillion cigarettes are at
This article was contributed to the Roboflow blog by Abirami Vina.
Introduction
Digital transformation is a common practice in various fields, including education. There has been a significant shift towards
Real-time insights extracted from video streams can drastically improve efficiency for how industries operate. One high-impact application of this is in inventory management. Whether you’re a factory manager looking