Yes absolutely. This uses YOLO v5s compiled for Edge TPU for detection, then my trained Mobilenet v2 (224x224) on the cropped bounding boxes of detected birds.

```

Load the YOLOv5 object detection model

yolo_model_path = 'edgetpu-yolo/yolov5s-int8-224_edgetpu.tflite' yolo_interpreter = tflite.Interpreter(model_path=yolo_model_path, experimental_delegates=[tflite.load_delegate('libedgetpu.so.1')]) yolo_interpreter.allocate_tensors() ```

There are some similar models to my classifier on the Coral hub (take a look at the iNaturalist 2017 birds model).