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
Roboflow’s newest feature lets you easily enable anyone to access your models by scanning a QR code to instantly use a model in a mobile browser. You can now
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
We're often told that data is the backbone that drives the development of powerful and robust models. And that's certainly true – data is the raw material
Introduction
Recent breakthroughs in large language models (LLMs) and foundation computer vision models have unlocked new interfaces and methods for editing images or videos. You may have heard of inpainting,
In this blog post, we will explore how you can improve your object detection model performance by converting your bounding box annotations to polygon annotations. We will also discuss the
DETR stands out from traditional object detection models due to its unique architecture and approach. Unlike other models that rely on anchor boxes or region proposal networks, DETR formulates object
Labeling large datasets can be a time-consuming and labor-intensive task. However, with advancements in deep learning and natural language processing, it is now possible to automate the labeling process.
In
Whether you're working on object detection, instance segmentation, or classification tasks, having a reliable and easy-to-use computer vision model is essential.
In this blog post, we'll
