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This project was done by students of dsatm college under the guidance saarthi career team. This is a simple machine learning proof of concept demonstrating an object recognition/detection rig fueled by pretrained neural network classifier model. This video goes through an example of using tensorflow for image recognition.
Technology used here includes image processing and ai. In our case, without retraining "up" turns led "down". You can probably get better results using a second of data instead tenth second.
I will describe my academic resear. Ubuntu is used via virtualbox on a windows machine. Pydata london 2018 bird sounds are complex and fascinating.
The convolutional neural network got around 95 % accuracy. Can we automatically "understand" them using machine learning. In this demo, we show how can use deep neural networks to featurize scanning electron microscopy microstructure images.