In this blog post, we delve into the process of estimating vehicle speed using computer vision, covering the steps from object detection to tracking and addressing challenges like perspective distortion with OpenCV.
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
