Deploy YOLOv7 Instance Segmentation Models with Roboflow

RF-DETR Segmentation, released in October 2025, is a cutting-edge instance segmentation model that surpasses the performance of the largest YOLO11 by being three times faster and more accurate on the Microsoft COCO Segmentation benchmark. The guide explains how to use Roboflow to train and deploy custom YOLOv7 instance segmentation models, specifically for identifying buildings in aerial imagery. It involves creating a dataset using Roboflow Universe, processing and augmenting the data, and training the model using a Colab notebook. Users can upload model weights to Roboflow, creating a scalable API for interaction and deployment. The tutorial also includes instructions for deploying models to the edge using Roboflow Inference, with options for both CPU and GPU devices, and emphasizes the importance of an enterprise license for commercial use.

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