Provides a custom ONNX-based model backend for the open-source labeling software Label Studio
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The open-source labeling software Label Studio offers to include a machine-learning backend in order to support the labeling process. This project provides an example how to customize such a backend for bounding box prediction based to ONNX converted models. The example is designed for YOLOv7.
See the corresponding github repository for details: github.com/max-scw/CustomLabelStudioMLBackend
Content type
Image
Digest
sha256:bb0fbdeba…
Size
181.5 MB
Last updated
almost 2 years ago
docker pull maxscw/labelstudio-ml-backend