• 6 min read
What is Segment Anything Model (SAM)? A Breakdown.
Learn how Meta Research's new Segment Anything Model works to achieve high performance on image segmentation tasks.
• 11 min read
How to Train YOLOv7 Instance Segmentation on a Custom Dataset
In this article, we're going to walk through how to detect concrete cracks using instance segmentation.
• 7 min read
What is a Segmentation Mask? An Introduction
In this guide, you will learn how to create segmentation masks with the results of a computer vision model hosted on Roboflow.
• 4 min read
Launch: Semantic Segmentation for Labeling, Training, Deployment
SUMMARY
Semantic segmentation assigns a class label to every pixel in an image, making it useful for tasks where per-pixel precision matters: road and sidewalk mapping from aerial imagery, crack detection in infrastructure, defect identification in manufacturing, and medical image analysis. Roboflow now supports semantic segmentation end-to-end,
• 4 min read
Launch: Smart Polygon Labeling
SUMMARY
Roboflow Annotate's Smart Polygon tool uses a machine learning model behind the scenes to generate a polygon label with a single click on an object, reducing what previously required many manual point placements to a near-instant operation. Precise polygon annotations are required for training instance segmentation
• 9 min read
How To Train SegFormer on a Custom Dataset
In this post, we will walk through how to train SegFormer on a custom dataset using Pytorch Lightning to classify every pixel in an image.
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