An android mobile application using "MobileNet" trained on ImageNet dataset and ncnn neural networks inference framework to recognize objects specified in "labels.txt" in the assets folder. First, the model was constructed using TensorFlow. Second, it was converted to ncnn format after it was converted to ONNX using tf2onnx in notebook.ipynb
