-*Lite.AI.ToolKit* contains *[70+](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md)* AI models with *[150+](https://github.com/DefTruth/lite.ai.toolkit/tree/main/docs/hub/lite.ai.toolkit.hub.onnx.md)* frozen pretrained *.onnx* files now. Note that the models here are all from third-party projects. Most of the models were converted by *Lite.AI.ToolKit*. In Lite.AI, different names of the same algorithm mean that the corresponding models come from different repositories, different implementations, or use different training data, etc. ✅ means passed the test and ⚠️ means not implements yet but coming soon. For classes which denoted ✅, you can use it through *lite::cv::Type::Class* syntax, such as *[lite::cv::detection::YoloV5](#lite.ai.toolkit-object-detection)*. More details can be found at [Examples for Lite.AI](#lite.ai.toolkit-Examples-for-Lite.AI.ToolKit).
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