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Typically trained using ArcFace (Additive Angular Margin Loss), which was introduced in a separate influential InsightFace paper . 🚀 Key Performance Highlights w600k-r50.onnx
format, making it compatible with various frameworks like PyTorch, MXNet, and specialized inference engines. Key Performance and Usage Help you with the to load and run this
The w600k-r50 model is a direct descendant of the breakthrough. Researchers discovered that by using a specific loss function (Additive Angular Margin Loss), they could train a ResNet-50 on a massive public dataset (WebFace600K) to achieve accuracy that rivaled or beat the tech giants. w600k-r50.onnx