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@@ -185,7 +185,7 @@ from [Arm ML-Zoo](https://github.com/ARM-software/ML-zoo/).
- [Mobilenet V2](https://github.com/ARM-software/ML-zoo/blob/master/models/image_classification/mobilenet_v2_1.0_224/tflite_uint8).
- [DS-CNN](https://github.com/ARM-software/ML-zoo/blob/master/models/keyword_spotting/ds_cnn_large/tflite_clustered_int8).
- [Wav2Letter](https://github.com/ARM-software/ML-zoo/blob/master/models/speech_recognition/wav2letter/tflite_int8).
-- Anomaly Detection (coming soon).
+- [Anomaly Detection](https://github.com/ARM-software/ML-zoo/raw/7c32b097f7d94aae2cd0b98a8ed5a3ba81e66b18/models/anomaly_detection/micronet_medium/tflite_int8/ad_medium_int8.tflite).
When using Ethos-U55 NPU backend, the NN model is assumed to be optimized by Vela compiler.
However, even if not, it will fall back on the CPU and execute, if supported by TensorFlow Lite Micro.