uavid-yolo26s-sem is an open-source semantic segmentation model designed for analyzing aerial imagery. It integrates with YOLO and PyTorch frameworks, allowing researchers and developers to perform segmentation tasks for computer vision applications. The model is distributed with open weights for local use and further research.
Uavid Yolo26s Sem sits in PulseGate's Other AI category. It enables computer vision researchers to perform semantic segmentation on aerial imagery using an open-source model. Uavid Yolo26s Sem is an open-source project aimed at computer vision researchers and developers. The project is open source (Apache-2.0). Uavid Yolo26s Sem is available on the command line, and it can be self-hosted.
Behind Uavid Yolo26s Sem is dronefreak, and the product first shipped in 2021. The project is developed in the open on GitHub with 24 stars and 17 commits in the last 90 days. Among its 5 catalogued features are semantic segmentation, aerial imagery analysis, and YOLO integration.
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dronefreak/uavid-yolo26s-sem verified by the PulseGate indexer
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