Learn what zero-shot classification is, what zero-shot classification is used for, and how to use zero-shot classification to solve computer vision problems.
In this guide, we discuss what keypoint detection is, common architectures used for keypoint detection, and the high-level steps to build a keypoint detection model.
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
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,
This article was contributed to the Roboflow blog by Abirami Vina.
Measuring changes to our environment is an important part of understanding progress made toward a more sustainable world. Historically,
The article below was contributed by Timothy Malche, an assistant professor in the Department of Computer Applications at Manipal University Jaipur.
Introduction
An oil spill in the sea is a
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
This article was contributed to the Roboflow blog by Abirami Vina.
What is Pose Estimation?
Pose estimation, also called keypoint detection, is a computer vision technique that pinpoints the key
Historically, building a robust search engine for images was difficult. One could search by features such as file name and image metadata, and use any context around an image (i.
