ViTAE-Transformer/SAMRS
The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"
This project helps remote sensing analysts and researchers create large, detailed datasets for image segmentation tasks. It takes existing aerial or satellite imagery with object detection labels and automatically generates precise segmentation masks for objects like cars, ships, planes, and dams. The output is a significantly expanded dataset ready for training advanced machine learning models for tasks like environmental monitoring or urban planning.
376 stars. No commits in the last 6 months.
Use this if you need to rapidly expand or create a high-resolution remote sensing image dataset with detailed object segmentation masks from existing object detection data.
Not ideal if you are looking for a tool to perform real-time segmentation on live feeds or if you do not have access to initial remote sensing object detection datasets.
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Aug 05, 2024
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